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    53<title>mixpp: arx.h Source File</title> 
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    6966<a name="l00014"></a>00014 <span class="preprocessor"></span><span class="preprocessor">#define AR_H</span> 
    7067<a name="l00015"></a>00015 <span class="preprocessor"></span> 
    71 <a name="l00016"></a>00016 <span class="preprocessor">#include &quot;../math/functions.h&quot;</span> 
    72 <a name="l00017"></a>00017 <span class="preprocessor">#include &quot;../stat/exp_family.h&quot;</span> 
    73 <a name="l00018"></a>00018 <span class="preprocessor">#include &quot;../base/user_info.h&quot;</span> 
    74 <a name="l00019"></a>00019 <span class="comment">//#include &quot;../estim/kalman.h&quot;</span> 
    75 <a name="l00020"></a>00020 <span class="preprocessor">#include &quot;<a class="code" href="arx__straux_8h.html" title="Bayesian Filtering for generalized autoregressive (ARX) model.">arx_straux.h</a>&quot;</span> 
     68<a name="l00016"></a>00016 <span class="preprocessor">#include "../math/functions.h"</span> 
     69<a name="l00017"></a>00017 <span class="preprocessor">#include "../stat/exp_family.h"</span> 
     70<a name="l00018"></a>00018 <span class="preprocessor">#include "../base/user_info.h"</span> 
     71<a name="l00019"></a>00019 <span class="comment">//#include "../estim/kalman.h"</span> 
     72<a name="l00020"></a>00020 <span class="preprocessor">#include "<a class="code" href="arx__straux_8h.html" title="Bayesian Filtering for generalized autoregressive (ARX) model.">arx_straux.h</a>"</span> 
    7673<a name="l00021"></a>00021  
    7774<a name="l00022"></a>00022 <span class="keyword">namespace </span>bdm { 
    … …  
    7976<a name="l00043"></a><a class="code" href="classbdm_1_1ARX.html">00043</a> <span class="keyword">class </span><a class="code" href="classbdm_1_1ARX.html" title="Linear Autoregressive model with Gaussian noise.">ARX</a>: <span class="keyword">public</span> <a class="code" href="classbdm_1_1BMEF.html" title="Estimator for Exponential family.">BMEF</a> { 
    8077<a name="l00044"></a>00044 <span class="keyword">protected</span>: 
    81 <a name="l00046"></a><a class="code" href="classbdm_1_1ARX.html#a8e68db2a218d54b09304cad6c0a897d9">00046</a>         <span class="keywordtype">int</span> <a class="code" href="classbdm_1_1ARX.html#a8e68db2a218d54b09304cad6c0a897d9" title="size of output variable (needed in regressors)">dimx</a>; 
    82 <a name="l00049"></a><a class="code" href="classbdm_1_1ARX.html#a363aaa55b2ab3eec602510cdf53e84ef">00049</a>         <a class="code" href="classbdm_1_1RV.html" title="Class representing variables, most often random variables.">RV</a> <a class="code" href="classbdm_1_1ARX.html#a363aaa55b2ab3eec602510cdf53e84ef">_yrv</a>; 
    83 <a name="l00051"></a><a class="code" href="classbdm_1_1ARX.html#a320ac7b3b511bc4b26e8f8823026a453">00051</a>         <a class="code" href="classbdm_1_1RV.html" title="Class representing variables, most often random variables.">RV</a> <a class="code" href="classbdm_1_1ARX.html#a320ac7b3b511bc4b26e8f8823026a453" title="rv of regressor">rgrrv</a>; 
    84 <a name="l00053"></a><a class="code" href="classbdm_1_1ARX.html#a11474a627367f81b76830cb8477cf026">00053</a>         <a class="code" href="classbdm_1_1egiw.html" title="Gauss-inverse-Wishart density stored in LD form.">egiw</a> <a class="code" href="classbdm_1_1ARX.html#a11474a627367f81b76830cb8477cf026" title="Posterior estimate of  in the form of Normal-inverse Wishart density.">est</a>; 
    85 <a name="l00055"></a><a class="code" href="classbdm_1_1ARX.html#ade5b7d83ff5d3f5af2f80068db0abdfd">00055</a>         <a class="code" href="classbdm_1_1ldmat.html" title="Matrix stored in LD form, (commonly known as UD).">ldmat</a> &amp;<a class="code" href="classbdm_1_1ARX.html#ade5b7d83ff5d3f5af2f80068db0abdfd" title="cached value of est.V">V</a>; 
    86 <a name="l00057"></a><a class="code" href="classbdm_1_1ARX.html#a740b0582f180ba13cae91d66e9bdb67f">00057</a>         <span class="keywordtype">double</span> &amp;<a class="code" href="classbdm_1_1ARX.html#a740b0582f180ba13cae91d66e9bdb67f" title="cached value of est.nu">nu</a>; 
    87 <a name="l00059"></a><a class="code" href="classbdm_1_1ARX.html#a6dcf8458bdc25d831542c6da89961fbc">00059</a>         <span class="keywordtype">bool</span> <a class="code" href="classbdm_1_1ARX.html#a6dcf8458bdc25d831542c6da89961fbc" title="switch if constant is modelled or not">have_constant</a>; 
    88 <a name="l00061"></a><a class="code" href="classbdm_1_1ARX.html#a8f87c2958e5690610fed2992d6ffe5c0">00061</a>         vec <a class="code" href="classbdm_1_1ARX.html#a8f87c2958e5690610fed2992d6ffe5c0" title="cached value of data vector for have_constant =true">_dt</a>; 
    89 <a name="l00063"></a><a class="code" href="classbdm_1_1ARX.html#aa6b50507d9e7a56b38e549710ffb466d">00063</a>         <a class="code" href="classbdm_1_1egiw.html" title="Gauss-inverse-Wishart density stored in LD form.">egiw</a> <a class="code" href="classbdm_1_1ARX.html#aa6b50507d9e7a56b38e549710ffb466d" title="Alternative estimate of parameters, used in stabilized forgetting, see [Kulhavy]...">alter_est</a>; 
     78<a name="l00046"></a><a class="code" href="classbdm_1_1ARX.html#8e68db2a218d54b09304cad6c0a897d9">00046</a>         <span class="keywordtype">int</span> <a class="code" href="classbdm_1_1ARX.html#8e68db2a218d54b09304cad6c0a897d9" title="size of output variable (needed in regressors)">dimx</a>; 
     79<a name="l00049"></a><a class="code" href="classbdm_1_1ARX.html#363aaa55b2ab3eec602510cdf53e84ef">00049</a>         <a class="code" href="classbdm_1_1RV.html" title="Class representing variables, most often random variables.">RV</a> <a class="code" href="classbdm_1_1ARX.html#363aaa55b2ab3eec602510cdf53e84ef">_yrv</a>; 
     80<a name="l00051"></a><a class="code" href="classbdm_1_1ARX.html#320ac7b3b511bc4b26e8f8823026a453">00051</a>         <a class="code" href="classbdm_1_1RV.html" title="Class representing variables, most often random variables.">RV</a> <a class="code" href="classbdm_1_1ARX.html#320ac7b3b511bc4b26e8f8823026a453" title="rv of regressor">rgrrv</a>; 
     81<a name="l00053"></a><a class="code" href="classbdm_1_1ARX.html#11474a627367f81b76830cb8477cf026">00053</a>         <a class="code" href="classbdm_1_1egiw.html" title="Gauss-inverse-Wishart density stored in LD form.">egiw</a> <a class="code" href="classbdm_1_1ARX.html#11474a627367f81b76830cb8477cf026" title="Posterior estimate of  in the form of Normal-inverse Wishart density.">est</a>; 
     82<a name="l00055"></a><a class="code" href="classbdm_1_1ARX.html#de5b7d83ff5d3f5af2f80068db0abdfd">00055</a>         <a class="code" href="classbdm_1_1ldmat.html" title="Matrix stored in LD form, (commonly known as UD).">ldmat</a> &amp;<a class="code" href="classbdm_1_1ARX.html#de5b7d83ff5d3f5af2f80068db0abdfd" title="cached value of est.V">V</a>; 
     83<a name="l00057"></a><a class="code" href="classbdm_1_1ARX.html#740b0582f180ba13cae91d66e9bdb67f">00057</a>         <span class="keywordtype">double</span> &amp;<a class="code" href="classbdm_1_1ARX.html#740b0582f180ba13cae91d66e9bdb67f" title="cached value of est.nu">nu</a>; 
     84<a name="l00059"></a><a class="code" href="classbdm_1_1ARX.html#6dcf8458bdc25d831542c6da89961fbc">00059</a>         <span class="keywordtype">bool</span> <a class="code" href="classbdm_1_1ARX.html#6dcf8458bdc25d831542c6da89961fbc" title="switch if constant is modelled or not">have_constant</a>; 
     85<a name="l00061"></a><a class="code" href="classbdm_1_1ARX.html#8f87c2958e5690610fed2992d6ffe5c0">00061</a>         vec <a class="code" href="classbdm_1_1ARX.html#8f87c2958e5690610fed2992d6ffe5c0" title="cached value of data vector for have_constant =true">_dt</a>; 
     86<a name="l00063"></a><a class="code" href="classbdm_1_1ARX.html#a6b50507d9e7a56b38e549710ffb466d">00063</a>         <a class="code" href="classbdm_1_1egiw.html" title="Gauss-inverse-Wishart density stored in LD form.">egiw</a> <a class="code" href="classbdm_1_1ARX.html#a6b50507d9e7a56b38e549710ffb466d" title="Alternative estimate of parameters, used in stabilized forgetting, see [Kulhavy]...">alter_est</a>; 
    9087<a name="l00064"></a>00064 <span class="keyword">public</span>: 
    91 <a name="l00067"></a>00067         <a class="code" href="classbdm_1_1ARX.html" title="Linear Autoregressive model with Gaussian noise.">ARX</a> ( <span class="keyword">const</span> <span class="keywordtype">double</span> frg0 = 1.0 ) : <a class="code" href="classbdm_1_1BMEF.html" title="Estimator for Exponential family.">BMEF</a> ( frg0 ), <a class="code" href="classbdm_1_1ARX.html#a11474a627367f81b76830cb8477cf026" title="Posterior estimate of  in the form of Normal-inverse Wishart density.">est</a> (), <a class="code" href="classbdm_1_1ARX.html#ade5b7d83ff5d3f5af2f80068db0abdfd" title="cached value of est.V">V</a> ( <a class="code" href="classbdm_1_1ARX.html#a11474a627367f81b76830cb8477cf026" title="Posterior estimate of  in the form of Normal-inverse Wishart density.">est</a>._V() ), <a class="code" href="classbdm_1_1ARX.html#a740b0582f180ba13cae91d66e9bdb67f" title="cached value of est.nu">nu</a> ( <a class="code" href="classbdm_1_1ARX.html#a11474a627367f81b76830cb8477cf026" title="Posterior estimate of  in the form of Normal-inverse Wishart density.">est</a>._nu() ), <a class="code" href="classbdm_1_1ARX.html#a6dcf8458bdc25d831542c6da89961fbc" title="switch if constant is modelled or not">have_constant</a>(true), <a class="code" href="classbdm_1_1ARX.html#a8f87c2958e5690610fed2992d6ffe5c0" title="cached value of data vector for have_constant =true">_dt</a>() {}; 
    92 <a name="l00068"></a>00068         <a class="code" href="classbdm_1_1ARX.html" title="Linear Autoregressive model with Gaussian noise.">ARX</a> ( <span class="keyword">const</span> <a class="code" href="classbdm_1_1ARX.html" title="Linear Autoregressive model with Gaussian noise.">ARX</a> &amp;A0 ) : <a class="code" href="classbdm_1_1BMEF.html" title="Estimator for Exponential family.">BMEF</a> (A0.<a class="code" href="classbdm_1_1BMEF.html#a1331865e10fb1ccef65bb4c47fa3be64" title="forgetting factor">frg</a>), <a class="code" href="classbdm_1_1ARX.html#a11474a627367f81b76830cb8477cf026" title="Posterior estimate of  in the form of Normal-inverse Wishart density.">est</a> (A0.<a class="code" href="classbdm_1_1ARX.html#a11474a627367f81b76830cb8477cf026" title="Posterior estimate of  in the form of Normal-inverse Wishart density.">est</a>), <a class="code" href="classbdm_1_1ARX.html#ade5b7d83ff5d3f5af2f80068db0abdfd" title="cached value of est.V">V</a> ( <a class="code" href="classbdm_1_1ARX.html#a11474a627367f81b76830cb8477cf026" title="Posterior estimate of  in the form of Normal-inverse Wishart density.">est</a>._V() ), <a class="code" href="classbdm_1_1ARX.html#a740b0582f180ba13cae91d66e9bdb67f" title="cached value of est.nu">nu</a> ( <a class="code" href="classbdm_1_1ARX.html#a11474a627367f81b76830cb8477cf026" title="Posterior estimate of  in the form of Normal-inverse Wishart density.">est</a>._nu() ), <a class="code" href="classbdm_1_1ARX.html#a6dcf8458bdc25d831542c6da89961fbc" title="switch if constant is modelled or not">have_constant</a>(A0.<a class="code" href="classbdm_1_1ARX.html#a6dcf8458bdc25d831542c6da89961fbc" title="switch if constant is modelled or not">have_constant</a>), <a class="code" href="classbdm_1_1ARX.html#a8f87c2958e5690610fed2992d6ffe5c0" title="cached value of data vector for have_constant =true">_dt</a>(A0.<a class="code" href="classbdm_1_1ARX.html#a8f87c2958e5690610fed2992d6ffe5c0" title="cached value of data vector for have_constant =true">_dt</a>) { 
    93 <a name="l00069"></a>00069                 <a class="code" href="classbdm_1_1ARX.html#a8e68db2a218d54b09304cad6c0a897d9" title="size of output variable (needed in regressors)">dimx</a> = A0.<a class="code" href="classbdm_1_1ARX.html#a8e68db2a218d54b09304cad6c0a897d9" title="size of output variable (needed in regressors)">dimx</a>; 
    94 <a name="l00070"></a>00070                 <a class="code" href="classbdm_1_1ARX.html#a363aaa55b2ab3eec602510cdf53e84ef">_yrv</a> = A0.<a class="code" href="classbdm_1_1ARX.html#a363aaa55b2ab3eec602510cdf53e84ef">_yrv</a>; 
    95 <a name="l00071"></a>00071                 <a class="code" href="classbdm_1_1ARX.html#a320ac7b3b511bc4b26e8f8823026a453" title="rv of regressor">rgrrv</a> = A0.<a class="code" href="classbdm_1_1ARX.html#a320ac7b3b511bc4b26e8f8823026a453" title="rv of regressor">rgrrv</a>; 
     88<a name="l00067"></a>00067         <a class="code" href="classbdm_1_1ARX.html" title="Linear Autoregressive model with Gaussian noise.">ARX</a> ( <span class="keyword">const</span> <span class="keywordtype">double</span> frg0 = 1.0 ) : <a class="code" href="classbdm_1_1BMEF.html" title="Estimator for Exponential family.">BMEF</a> ( frg0 ), <a class="code" href="classbdm_1_1ARX.html#11474a627367f81b76830cb8477cf026" title="Posterior estimate of  in the form of Normal-inverse Wishart density.">est</a> (), <a class="code" href="classbdm_1_1ARX.html#de5b7d83ff5d3f5af2f80068db0abdfd" title="cached value of est.V">V</a> ( <a class="code" href="classbdm_1_1ARX.html#11474a627367f81b76830cb8477cf026" title="Posterior estimate of  in the form of Normal-inverse Wishart density.">est</a>._V() ), <a class="code" href="classbdm_1_1ARX.html#740b0582f180ba13cae91d66e9bdb67f" title="cached value of est.nu">nu</a> ( <a class="code" href="classbdm_1_1ARX.html#11474a627367f81b76830cb8477cf026" title="Posterior estimate of  in the form of Normal-inverse Wishart density.">est</a>._nu() ), <a class="code" href="classbdm_1_1ARX.html#6dcf8458bdc25d831542c6da89961fbc" title="switch if constant is modelled or not">have_constant</a>(true), <a class="code" href="classbdm_1_1ARX.html#8f87c2958e5690610fed2992d6ffe5c0" title="cached value of data vector for have_constant =true">_dt</a>() {}; 
     89<a name="l00068"></a>00068         <a class="code" href="classbdm_1_1ARX.html" title="Linear Autoregressive model with Gaussian noise.">ARX</a> ( <span class="keyword">const</span> <a class="code" href="classbdm_1_1ARX.html" title="Linear Autoregressive model with Gaussian noise.">ARX</a> &amp;A0 ) : <a class="code" href="classbdm_1_1BMEF.html" title="Estimator for Exponential family.">BMEF</a> (A0.<a class="code" href="classbdm_1_1BMEF.html#1331865e10fb1ccef65bb4c47fa3be64" title="forgetting factor">frg</a>), <a class="code" href="classbdm_1_1ARX.html#11474a627367f81b76830cb8477cf026" title="Posterior estimate of  in the form of Normal-inverse Wishart density.">est</a> (A0.<a class="code" href="classbdm_1_1ARX.html#11474a627367f81b76830cb8477cf026" title="Posterior estimate of  in the form of Normal-inverse Wishart density.">est</a>), <a class="code" href="classbdm_1_1ARX.html#de5b7d83ff5d3f5af2f80068db0abdfd" title="cached value of est.V">V</a> ( <a class="code" href="classbdm_1_1ARX.html#11474a627367f81b76830cb8477cf026" title="Posterior estimate of  in the form of Normal-inverse Wishart density.">est</a>._V() ), <a class="code" href="classbdm_1_1ARX.html#740b0582f180ba13cae91d66e9bdb67f" title="cached value of est.nu">nu</a> ( <a class="code" href="classbdm_1_1ARX.html#11474a627367f81b76830cb8477cf026" title="Posterior estimate of  in the form of Normal-inverse Wishart density.">est</a>._nu() ), <a class="code" href="classbdm_1_1ARX.html#6dcf8458bdc25d831542c6da89961fbc" title="switch if constant is modelled or not">have_constant</a>(A0.<a class="code" href="classbdm_1_1ARX.html#6dcf8458bdc25d831542c6da89961fbc" title="switch if constant is modelled or not">have_constant</a>), <a class="code" href="classbdm_1_1ARX.html#8f87c2958e5690610fed2992d6ffe5c0" title="cached value of data vector for have_constant =true">_dt</a>(A0.<a class="code" href="classbdm_1_1ARX.html#8f87c2958e5690610fed2992d6ffe5c0" title="cached value of data vector for have_constant =true">_dt</a>) { 
     90<a name="l00069"></a>00069                 <a class="code" href="classbdm_1_1ARX.html#8e68db2a218d54b09304cad6c0a897d9" title="size of output variable (needed in regressors)">dimx</a> = A0.<a class="code" href="classbdm_1_1ARX.html#8e68db2a218d54b09304cad6c0a897d9" title="size of output variable (needed in regressors)">dimx</a>; 
     91<a name="l00070"></a>00070                 <a class="code" href="classbdm_1_1ARX.html#363aaa55b2ab3eec602510cdf53e84ef">_yrv</a> = A0.<a class="code" href="classbdm_1_1ARX.html#363aaa55b2ab3eec602510cdf53e84ef">_yrv</a>; 
     92<a name="l00071"></a>00071                 <a class="code" href="classbdm_1_1ARX.html#320ac7b3b511bc4b26e8f8823026a453" title="rv of regressor">rgrrv</a> = A0.<a class="code" href="classbdm_1_1ARX.html#320ac7b3b511bc4b26e8f8823026a453" title="rv of regressor">rgrrv</a>; 
    9693<a name="l00072"></a>00072                 set_drv(A0._drv()); 
    9794<a name="l00073"></a>00073         }; 
    98 <a name="l00074"></a>00074         ARX* <a class="code" href="classbdm_1_1ARX.html#aca0b54c0997cfd567f49377af5def106">_copy_</a>() <span class="keyword">const</span>; 
     95<a name="l00074"></a>00074         ARX* <a class="code" href="classbdm_1_1ARX.html#ca0b54c0997cfd567f49377af5def106">_copy_</a>() <span class="keyword">const</span>; 
    9996<a name="l00075"></a>00075         <span class="keywordtype">void</span> set_parameters ( <span class="keywordtype">double</span> frg0 ) { 
    100 <a name="l00076"></a>00076                 <a class="code" href="classbdm_1_1BMEF.html#a1331865e10fb1ccef65bb4c47fa3be64" title="forgetting factor">frg</a> = frg0; 
     97<a name="l00076"></a>00076                 <a class="code" href="classbdm_1_1BMEF.html#1331865e10fb1ccef65bb4c47fa3be64" title="forgetting factor">frg</a> = frg0; 
    10198<a name="l00077"></a>00077         } 
    102 <a name="l00078"></a>00078         <span class="keywordtype">void</span> set_statistics ( <span class="keywordtype">int</span> dimx0, <span class="keyword">const</span> ldmat V0, <span class="keywordtype">double</span> nu0 = -1.0 ) { 
    103 <a name="l00079"></a>00079                 <a class="code" href="classbdm_1_1ARX.html#a11474a627367f81b76830cb8477cf026" title="Posterior estimate of  in the form of Normal-inverse Wishart density.">est</a>.set_parameters ( dimx0, V0, nu0 ); 
    104 <a name="l00080"></a>00080                 <a class="code" href="classbdm_1_1BMEF.html#a06e7b3ac03e10017d4288c76888e2865" title="cached value of lognc() in the previous step (used in evaluation of ll )">last_lognc</a> = <a class="code" href="classbdm_1_1ARX.html#a11474a627367f81b76830cb8477cf026" title="Posterior estimate of  in the form of Normal-inverse Wishart density.">est</a>.lognc(); 
    105 <a name="l00081"></a>00081                 <a class="code" href="classbdm_1_1ARX.html#a8e68db2a218d54b09304cad6c0a897d9" title="size of output variable (needed in regressors)">dimx</a> = dimx0; 
    106 <a name="l00082"></a>00082         } 
    107 <a name="l00084"></a>00084  
    108 <a name="l00086"></a>00086         <span class="keywordtype">void</span> set_statistics ( <span class="keyword">const</span> <a class="code" href="classbdm_1_1BMEF.html#a2def512872ed8a4fc3b702371ec0be55" title="Default constructor (=empty constructor).">BMEF</a>* BM0 ); 
     99<a name="l00078"></a>00078         <span class="keywordtype">void</span> set_constant ( <span class="keywordtype">bool</span> const0 ) { 
     100<a name="l00079"></a>00079                 <a class="code" href="classbdm_1_1ARX.html#6dcf8458bdc25d831542c6da89961fbc" title="switch if constant is modelled or not">have_constant</a>=const0; 
     101<a name="l00080"></a>00080         } 
     102<a name="l00081"></a>00081         <span class="keywordtype">void</span> set_statistics ( <span class="keywordtype">int</span> dimx0, <span class="keyword">const</span> ldmat V0, <span class="keywordtype">double</span> nu0 = -1.0 ) { 
     103<a name="l00082"></a>00082                 <a class="code" href="classbdm_1_1ARX.html#11474a627367f81b76830cb8477cf026" title="Posterior estimate of  in the form of Normal-inverse Wishart density.">est</a>.set_parameters ( dimx0, V0, nu0 ); 
     104<a name="l00083"></a>00083                 <a class="code" href="classbdm_1_1BMEF.html#06e7b3ac03e10017d4288c76888e2865" title="cached value of lognc() in the previous step (used in evaluation of ll )">last_lognc</a> = <a class="code" href="classbdm_1_1ARX.html#11474a627367f81b76830cb8477cf026" title="Posterior estimate of  in the form of Normal-inverse Wishart density.">est</a>.lognc(); 
     105<a name="l00084"></a>00084                 <a class="code" href="classbdm_1_1ARX.html#8e68db2a218d54b09304cad6c0a897d9" title="size of output variable (needed in regressors)">dimx</a> = dimx0; 
     106<a name="l00085"></a>00085         } 
    109107<a name="l00087"></a>00087  
     108<a name="l00089"></a>00089         <span class="keywordtype">void</span> set_statistics ( <span class="keyword">const</span> <a class="code" href="classbdm_1_1BMEF.html#2def512872ed8a4fc3b702371ec0be55" title="Default constructor (=empty constructor).">BMEF</a>* BM0 ); 
    110109<a name="l00090"></a>00090  
    111 <a name="l00092"></a>00092         <span class="keywordtype">void</span> <a class="code" href="classbdm_1_1ARX.html#a17e7fe14654ab3c449846c3f43e66169" title="Weighted Bayes .">bayes</a> ( <span class="keyword">const</span> vec &amp;dt, <span class="keyword">const</span> <span class="keywordtype">double</span> w ); 
    112 <a name="l00093"></a><a class="code" href="classbdm_1_1ARX.html#a8bdf2974052e8ce74eb0d4f3791c58a3">00093</a>         <span class="keywordtype">void</span> <a class="code" href="classbdm_1_1ARX.html#a8bdf2974052e8ce74eb0d4f3791c58a3" title="Incremental Bayes rule.">bayes</a> ( <span class="keyword">const</span> vec &amp;dt ) { 
    113 <a name="l00094"></a>00094                 <a class="code" href="classbdm_1_1ARX.html#a17e7fe14654ab3c449846c3f43e66169" title="Weighted Bayes .">bayes</a> ( dt, 1.0 ); 
    114 <a name="l00095"></a>00095         }; 
    115 <a name="l00096"></a>00096         <span class="keywordtype">double</span> <a class="code" href="classbdm_1_1ARX.html#a080a7e531e3aa06694112863b15bc6a4">logpred</a> ( <span class="keyword">const</span> vec &amp;dt ) <span class="keyword">const</span>; 
    116 <a name="l00097"></a>00097         <span class="keywordtype">void</span> flatten ( <span class="keyword">const</span> <a class="code" href="classbdm_1_1BMEF.html" title="Estimator for Exponential family.">BMEF</a>* B ) { 
    117 <a name="l00098"></a>00098                 <span class="keyword">const</span> <a class="code" href="classbdm_1_1ARX.html" title="Linear Autoregressive model with Gaussian noise.">ARX</a>* A = <span class="keyword">dynamic_cast&lt;</span><span class="keyword">const </span><a class="code" href="classbdm_1_1ARX.html" title="Linear Autoregressive model with Gaussian noise.">ARX</a>*<span class="keyword">&gt;</span> ( B ); 
    118 <a name="l00099"></a>00099                 <span class="comment">// nu should be equal to B.nu</span> 
    119 <a name="l00100"></a>00100                 <a class="code" href="classbdm_1_1ARX.html#a11474a627367f81b76830cb8477cf026" title="Posterior estimate of  in the form of Normal-inverse Wishart density.">est</a>.<a class="code" href="classbdm_1_1egiw.html#a8e610e95401a11baf34f65e16ecd87be" title="Power of the density, used e.g. to flatten the density.">pow</a> ( A-&gt;<a class="code" href="classbdm_1_1ARX.html#a740b0582f180ba13cae91d66e9bdb67f" title="cached value of est.nu">nu</a> / <a class="code" href="classbdm_1_1ARX.html#a740b0582f180ba13cae91d66e9bdb67f" title="cached value of est.nu">nu</a> ); 
    120 <a name="l00101"></a>00101                 <span class="keywordflow">if</span> ( <a class="code" href="classbdm_1_1BM.html#afaff0ad12556fe7dc0e2807d4fd938ee" title="If true, the filter will compute likelihood of the data record and store it in ll...">evalll</a> ) { 
    121 <a name="l00102"></a>00102                         <a class="code" href="classbdm_1_1BMEF.html#a06e7b3ac03e10017d4288c76888e2865" title="cached value of lognc() in the previous step (used in evaluation of ll )">last_lognc</a> = <a class="code" href="classbdm_1_1ARX.html#a11474a627367f81b76830cb8477cf026" title="Posterior estimate of  in the form of Normal-inverse Wishart density.">est</a>.<a class="code" href="classbdm_1_1egiw.html#a41d72ba7b2abc8a9a4209ffa98ed5633" title="logarithm of the normalizing constant, ">lognc</a>(); 
    122 <a name="l00103"></a>00103                 } 
    123 <a name="l00104"></a>00104         } 
    124 <a name="l00106"></a>00106         enorm&lt;ldmat&gt;* <a class="code" href="classbdm_1_1ARX.html#a4cdf5e2a7d3480ec31f6247ed4289b15" title="Predictor for empty regressor.">epredictor</a> ( <span class="keyword">const</span> vec &amp;rgr ) <span class="keyword">const</span>; 
    125 <a name="l00108"></a><a class="code" href="classbdm_1_1ARX.html#a4cdf5e2a7d3480ec31f6247ed4289b15">00108</a>         <a class="code" href="classbdm_1_1enorm.html">enorm&lt;ldmat&gt;</a>* <a class="code" href="classbdm_1_1ARX.html#a4cdf5e2a7d3480ec31f6247ed4289b15" title="Predictor for empty regressor.">epredictor</a>()<span class="keyword"> const </span>{ 
    126 <a name="l00109"></a>00109                 <a class="code" href="bdmerror_8h.html#a89a0f906b242b79c5d3d342291b2cab4" title="Throw std::runtime_exception if t is not true and NDEBUG is not defined.">bdm_assert_debug</a> ( <a class="code" href="classbdm_1_1ARX.html#a8e68db2a218d54b09304cad6c0a897d9" title="size of output variable (needed in regressors)">dimx</a> == <a class="code" href="classbdm_1_1ARX.html#ade5b7d83ff5d3f5af2f80068db0abdfd" title="cached value of est.V">V</a>.<a class="code" href="classbdm_1_1sqmat.html#a73e639221343dcce76c3305524d67590" title="Reimplementing common functions of mat: rows().">rows</a>() - 1, <span class="stringliteral">&quot;Regressor is not only 1&quot;</span> ); 
    127 <a name="l00110"></a>00110                 <span class="keywordflow">return</span> <a class="code" href="classbdm_1_1ARX.html#a4cdf5e2a7d3480ec31f6247ed4289b15" title="Predictor for empty regressor.">epredictor</a> ( vec_1 ( 1.0 ) ); 
    128 <a name="l00111"></a>00111         } 
    129 <a name="l00113"></a>00113         <a class="code" href="classbdm_1_1mlnorm.html" title="Normal distributed linear function with linear function of mean value;.">mlnorm&lt;ldmat&gt;</a>* <a class="code" href="classbdm_1_1ARX.html#a74fe8ae2d88bee8639510fd0eaf73513" title="conditional version of the predictor">predictor</a>() <span class="keyword">const</span>; 
    130 <a name="l00114"></a>00114         <a class="code" href="classbdm_1_1mlstudent.html">mlstudent</a>* predictor_student() <span class="keyword">const</span>; 
    131 <a name="l00116"></a>00116         ivec <a class="code" href="classbdm_1_1ARX.html#a16b02ae03316751664c22d59d90c1e34" title="Brute force structure estimation.">structure_est</a> ( <a class="code" href="classbdm_1_1egiw.html" title="Gauss-inverse-Wishart density stored in LD form.">egiw</a> Eg0 ); 
    132 <a name="l00118"></a>00118         ivec <a class="code" href="classbdm_1_1ARX.html#a5d0f217ce270e6a8cb43a67b6c4b67fa" title="Smarter structure estimation by Ludvik Tesar.">structure_est_LT</a> ( <a class="code" href="classbdm_1_1egiw.html" title="Gauss-inverse-Wishart density stored in LD form.">egiw</a> Eg0 ); 
    133 <a name="l00120"></a>00120  
    134 <a name="l00123"></a>00123         <span class="keyword">const</span> <a class="code" href="classbdm_1_1egiw.html" title="Gauss-inverse-Wishart density stored in LD form.">egiw</a>&amp; posterior()<span class="keyword"> const </span>{ 
    135 <a name="l00124"></a>00124                 <span class="keywordflow">return</span> <a class="code" href="classbdm_1_1ARX.html#a11474a627367f81b76830cb8477cf026" title="Posterior estimate of  in the form of Normal-inverse Wishart density.">est</a>; 
    136 <a name="l00125"></a>00125         } 
    137 <a name="l00127"></a>00127  
    138 <a name="l00130"></a>00130         <span class="keywordtype">void</span> set_rv ( <span class="keyword">const</span> RV &amp;yrv0 , <span class="keyword">const</span> RV &amp;rgrrv0 ) { 
    139 <a name="l00131"></a>00131                 <a class="code" href="classbdm_1_1ARX.html#a363aaa55b2ab3eec602510cdf53e84ef">_yrv</a> = yrv0; 
    140 <a name="l00132"></a>00132                 <a class="code" href="classbdm_1_1ARX.html#a320ac7b3b511bc4b26e8f8823026a453" title="rv of regressor">rgrrv</a>=rgrrv0; 
    141 <a name="l00133"></a>00133                 set_drv(concat(yrv0, <a class="code" href="classbdm_1_1ARX.html#a320ac7b3b511bc4b26e8f8823026a453" title="rv of regressor">rgrrv</a>)); 
    142 <a name="l00134"></a>00134         } 
    143 <a name="l00135"></a>00135  
    144 <a name="l00136"></a>00136         RV&amp; get_yrv() { 
    145 <a name="l00137"></a>00137                 <span class="comment">//if yrv is not ready create it</span> 
    146 <a name="l00138"></a>00138                 <span class="keywordflow">if</span> ( <a class="code" href="classbdm_1_1ARX.html#a363aaa55b2ab3eec602510cdf53e84ef">_yrv</a>._dsize() != <a class="code" href="classbdm_1_1ARX.html#a8e68db2a218d54b09304cad6c0a897d9" title="size of output variable (needed in regressors)">dimx</a> ) { 
    147 <a name="l00139"></a>00139                         <span class="keywordtype">int</span> i = 0; 
    148 <a name="l00140"></a>00140                         <span class="keywordflow">while</span> ( <a class="code" href="classbdm_1_1ARX.html#a363aaa55b2ab3eec602510cdf53e84ef">_yrv</a>._dsize() &lt; <a class="code" href="classbdm_1_1ARX.html#a8e68db2a218d54b09304cad6c0a897d9" title="size of output variable (needed in regressors)">dimx</a> ) { 
    149 <a name="l00141"></a>00141                                 <a class="code" href="classbdm_1_1ARX.html#a363aaa55b2ab3eec602510cdf53e84ef">_yrv</a>.add ( <a class="code" href="classbdm_1_1BM.html#ac400357e37d27a4834b2b1d9211009ed" title="Random variable of the data (optional).">drv</a> ( vec_1 ( i ) ) ); 
    150 <a name="l00142"></a>00142                                 i++; 
    151 <a name="l00143"></a>00143                         } 
    152 <a name="l00144"></a>00144                 } 
    153 <a name="l00145"></a>00145                 <span class="comment">//yrv should be ready by now</span> 
    154 <a name="l00146"></a>00146                 <a class="code" href="bdmerror_8h.html#a89a0f906b242b79c5d3d342291b2cab4" title="Throw std::runtime_exception if t is not true and NDEBUG is not defined.">bdm_assert_debug</a> ( <a class="code" href="classbdm_1_1ARX.html#a363aaa55b2ab3eec602510cdf53e84ef">_yrv</a>._dsize() == <a class="code" href="classbdm_1_1ARX.html#a8e68db2a218d54b09304cad6c0a897d9" title="size of output variable (needed in regressors)">dimx</a>, <span class="stringliteral">&quot;incompatible drv&quot;</span> ); 
    155 <a name="l00147"></a>00147                 <span class="keywordflow">return</span> <a class="code" href="classbdm_1_1ARX.html#a363aaa55b2ab3eec602510cdf53e84ef">_yrv</a>; 
    156 <a name="l00148"></a>00148         } 
    157 <a name="l00150"></a>00150  
    158 <a name="l00171"></a>00171         <span class="keywordtype">void</span> <a class="code" href="classbdm_1_1ARX.html#a9637412df898048bafaefee9dc7e9f6c">from_setting</a> ( <span class="keyword">const</span> Setting &amp;<span class="keyword">set</span> ); 
    159 <a name="l00172"></a>00172  
    160 <a name="l00173"></a><a class="code" href="classbdm_1_1ARX.html#a5b4ae27fa320a1b6e09777239210566d">00173</a>         <span class="keywordtype">void</span> <a class="code" href="classbdm_1_1ARX.html#a5b4ae27fa320a1b6e09777239210566d" title="This method TODO.">validate</a>() { 
    161 <a name="l00174"></a>00174                 <a class="code" href="bdmerror_8h.html#a7a3399d182b8e3065532596e76f84849" title="Throw std::runtime_exception if t is not true.">bdm_assert</a>(<a class="code" href="classbdm_1_1ARX.html#a8e68db2a218d54b09304cad6c0a897d9" title="size of output variable (needed in regressors)">dimx</a> == <a class="code" href="classbdm_1_1ARX.html#a363aaa55b2ab3eec602510cdf53e84ef">_yrv</a>.<a class="code" href="classbdm_1_1RV.html#ade30156104f61d86c94f758861418089" title="total size of a random variable">_dsize</a>(), <span class="stringliteral">&quot;RVs of parameters and regressor do not match&quot;</span>); 
    162 <a name="l00175"></a>00175                  
    163 <a name="l00176"></a>00176         } 
    164 <a name="l00177"></a>00177 }; 
    165 <a name="l00178"></a>00178  
    166 <a name="l00179"></a>00179 <a class="code" href="user__info_8h.html#a4f9de2f17e844047726487b99def99c6" title="Macro for registration of class into map of user-infos, registered class is scriptable...">UIREGISTER</a> ( ARX ); 
    167 <a name="l00180"></a>00180 SHAREDPTR ( ARX ); 
     110<a name="l00093"></a>00093  
     111<a name="l00095"></a>00095         <span class="keywordtype">void</span> <a class="code" href="classbdm_1_1ARX.html#17e7fe14654ab3c449846c3f43e66169" title="Weighted Bayes .">bayes</a> ( <span class="keyword">const</span> vec &amp;dt, <span class="keyword">const</span> <span class="keywordtype">double</span> w ); 
     112<a name="l00096"></a><a class="code" href="classbdm_1_1ARX.html#8bdf2974052e8ce74eb0d4f3791c58a3">00096</a>         <span class="keywordtype">void</span> <a class="code" href="classbdm_1_1ARX.html#8bdf2974052e8ce74eb0d4f3791c58a3" title="Incremental Bayes rule.">bayes</a> ( <span class="keyword">const</span> vec &amp;dt ) { 
     113<a name="l00097"></a>00097                 <a class="code" href="classbdm_1_1ARX.html#17e7fe14654ab3c449846c3f43e66169" title="Weighted Bayes .">bayes</a> ( dt, 1.0 ); 
     114<a name="l00098"></a>00098         }; 
     115<a name="l00099"></a>00099         <span class="keywordtype">double</span> <a class="code" href="classbdm_1_1ARX.html#080a7e531e3aa06694112863b15bc6a4">logpred</a> ( <span class="keyword">const</span> vec &amp;dt ) <span class="keyword">const</span>; 
     116<a name="l00100"></a><a class="code" href="classbdm_1_1ARX.html#e86ab499b116b837d3163ec852961eca">00100</a>         <span class="keywordtype">void</span> <a class="code" href="classbdm_1_1ARX.html#e86ab499b116b837d3163ec852961eca" title="Flatten the posterior according to the given BMEF (of the same type!).">flatten</a> ( <span class="keyword">const</span> <a class="code" href="classbdm_1_1BMEF.html" title="Estimator for Exponential family.">BMEF</a>* B ) { 
     117<a name="l00101"></a>00101                 <span class="keyword">const</span> <a class="code" href="classbdm_1_1ARX.html" title="Linear Autoregressive model with Gaussian noise.">ARX</a>* A = <span class="keyword">dynamic_cast&lt;</span><span class="keyword">const </span><a class="code" href="classbdm_1_1ARX.html" title="Linear Autoregressive model with Gaussian noise.">ARX</a>*<span class="keyword">&gt;</span> ( B ); 
     118<a name="l00102"></a>00102                 <span class="comment">// nu should be equal to B.nu</span> 
     119<a name="l00103"></a>00103                 <a class="code" href="classbdm_1_1ARX.html#11474a627367f81b76830cb8477cf026" title="Posterior estimate of  in the form of Normal-inverse Wishart density.">est</a>.<a class="code" href="classbdm_1_1egiw.html#8e610e95401a11baf34f65e16ecd87be" title="Power of the density, used e.g. to flatten the density.">pow</a> ( A-&gt;<a class="code" href="classbdm_1_1ARX.html#740b0582f180ba13cae91d66e9bdb67f" title="cached value of est.nu">nu</a> / <a class="code" href="classbdm_1_1ARX.html#740b0582f180ba13cae91d66e9bdb67f" title="cached value of est.nu">nu</a> ); 
     120<a name="l00104"></a>00104                 <span class="keywordflow">if</span> ( <a class="code" href="classbdm_1_1BM.html#faff0ad12556fe7dc0e2807d4fd938ee" title="If true, the filter will compute likelihood of the data record and store it in ll...">evalll</a> ) { 
     121<a name="l00105"></a>00105                         <a class="code" href="classbdm_1_1BMEF.html#06e7b3ac03e10017d4288c76888e2865" title="cached value of lognc() in the previous step (used in evaluation of ll )">last_lognc</a> = <a class="code" href="classbdm_1_1ARX.html#11474a627367f81b76830cb8477cf026" title="Posterior estimate of  in the form of Normal-inverse Wishart density.">est</a>.<a class="code" href="classbdm_1_1egiw.html#41d72ba7b2abc8a9a4209ffa98ed5633" title="logarithm of the normalizing constant, ">lognc</a>(); 
     122<a name="l00106"></a>00106                 } 
     123<a name="l00107"></a>00107         } 
     124<a name="l00109"></a>00109         <a class="code" href="classbdm_1_1enorm.html">enorm&lt;ldmat&gt;</a>* <a class="code" href="classbdm_1_1ARX.html#4cdf5e2a7d3480ec31f6247ed4289b15" title="Predictor for empty regressor.">epredictor</a> ( <span class="keyword">const</span> vec &amp;rgr ) <span class="keyword">const</span>; 
     125<a name="l00111"></a><a class="code" href="classbdm_1_1ARX.html#4cdf5e2a7d3480ec31f6247ed4289b15">00111</a>         <a class="code" href="classbdm_1_1enorm.html">enorm&lt;ldmat&gt;</a>* <a class="code" href="classbdm_1_1ARX.html#4cdf5e2a7d3480ec31f6247ed4289b15" title="Predictor for empty regressor.">epredictor</a>()<span class="keyword"> const </span>{ 
     126<a name="l00112"></a>00112                 <a class="code" href="bdmerror_8h.html#89a0f906b242b79c5d3d342291b2cab4" title="Throw std::runtime_exception if t is not true and NDEBUG is not defined.">bdm_assert_debug</a> ( <a class="code" href="classbdm_1_1ARX.html#8e68db2a218d54b09304cad6c0a897d9" title="size of output variable (needed in regressors)">dimx</a> == <a class="code" href="classbdm_1_1ARX.html#de5b7d83ff5d3f5af2f80068db0abdfd" title="cached value of est.V">V</a>.<a class="code" href="classbdm_1_1sqmat.html#73e639221343dcce76c3305524d67590" title="Reimplementing common functions of mat: rows().">rows</a>() - 1, <span class="stringliteral">"Regressor is not only 1"</span> ); 
     127<a name="l00113"></a>00113                 <span class="keywordflow">return</span> <a class="code" href="classbdm_1_1ARX.html#4cdf5e2a7d3480ec31f6247ed4289b15" title="Predictor for empty regressor.">epredictor</a> ( vec_1 ( 1.0 ) ); 
     128<a name="l00114"></a>00114         } 
     129<a name="l00116"></a>00116         <a class="code" href="classbdm_1_1mlnorm.html" title="Normal distributed linear function with linear function of mean value;.">mlnorm&lt;ldmat&gt;</a>* <a class="code" href="classbdm_1_1ARX.html#74fe8ae2d88bee8639510fd0eaf73513" title="conditional version of the predictor">predictor</a>() <span class="keyword">const</span>; 
     130<a name="l00117"></a>00117         <a class="code" href="classbdm_1_1mlstudent.html">mlstudent</a>* predictor_student() <span class="keyword">const</span>; 
     131<a name="l00119"></a>00119         ivec <a class="code" href="classbdm_1_1ARX.html#16b02ae03316751664c22d59d90c1e34" title="Brute force structure estimation.">structure_est</a> ( <a class="code" href="classbdm_1_1egiw.html" title="Gauss-inverse-Wishart density stored in LD form.">egiw</a> Eg0 ); 
     132<a name="l00121"></a>00121         ivec <a class="code" href="classbdm_1_1ARX.html#5d0f217ce270e6a8cb43a67b6c4b67fa" title="Smarter structure estimation by Ludvik Tesar.">structure_est_LT</a> ( <a class="code" href="classbdm_1_1egiw.html" title="Gauss-inverse-Wishart density stored in LD form.">egiw</a> Eg0 ); 
     133<a name="l00123"></a>00123  
     134<a name="l00126"></a>00126         <span class="keyword">const</span> <a class="code" href="classbdm_1_1egiw.html" title="Gauss-inverse-Wishart density stored in LD form.">egiw</a>&amp; posterior()<span class="keyword"> const </span>{ 
     135<a name="l00127"></a>00127                 <span class="keywordflow">return</span> <a class="code" href="classbdm_1_1ARX.html#11474a627367f81b76830cb8477cf026" title="Posterior estimate of  in the form of Normal-inverse Wishart density.">est</a>; 
     136<a name="l00128"></a>00128         } 
     137<a name="l00130"></a>00130  
     138<a name="l00133"></a>00133         <span class="keywordtype">void</span> set_rv ( <span class="keyword">const</span> RV &amp;yrv0 , <span class="keyword">const</span> RV &amp;rgrrv0 ) { 
     139<a name="l00134"></a>00134                 <a class="code" href="classbdm_1_1ARX.html#363aaa55b2ab3eec602510cdf53e84ef">_yrv</a> = yrv0; 
     140<a name="l00135"></a>00135                 <a class="code" href="classbdm_1_1ARX.html#320ac7b3b511bc4b26e8f8823026a453" title="rv of regressor">rgrrv</a>=rgrrv0; 
     141<a name="l00136"></a>00136                 set_drv(concat(yrv0, <a class="code" href="classbdm_1_1ARX.html#320ac7b3b511bc4b26e8f8823026a453" title="rv of regressor">rgrrv</a>)); 
     142<a name="l00137"></a>00137         } 
     143<a name="l00138"></a>00138  
     144<a name="l00139"></a>00139         RV&amp; get_yrv() { 
     145<a name="l00140"></a>00140                 <span class="comment">//if yrv is not ready create it</span> 
     146<a name="l00141"></a>00141                 <span class="keywordflow">if</span> ( <a class="code" href="classbdm_1_1ARX.html#363aaa55b2ab3eec602510cdf53e84ef">_yrv</a>._dsize() != <a class="code" href="classbdm_1_1ARX.html#8e68db2a218d54b09304cad6c0a897d9" title="size of output variable (needed in regressors)">dimx</a> ) { 
     147<a name="l00142"></a>00142                         <span class="keywordtype">int</span> i = 0; 
     148<a name="l00143"></a>00143                         <span class="keywordflow">while</span> ( <a class="code" href="classbdm_1_1ARX.html#363aaa55b2ab3eec602510cdf53e84ef">_yrv</a>._dsize() &lt; <a class="code" href="classbdm_1_1ARX.html#8e68db2a218d54b09304cad6c0a897d9" title="size of output variable (needed in regressors)">dimx</a> ) { 
     149<a name="l00144"></a>00144                                 <a class="code" href="classbdm_1_1ARX.html#363aaa55b2ab3eec602510cdf53e84ef">_yrv</a>.add ( <a class="code" href="classbdm_1_1BM.html#c400357e37d27a4834b2b1d9211009ed" title="Random variable of the data (optional).">drv</a> ( vec_1 ( i ) ) ); 
     150<a name="l00145"></a>00145                                 i++; 
     151<a name="l00146"></a>00146                         } 
     152<a name="l00147"></a>00147                 } 
     153<a name="l00148"></a>00148                 <span class="comment">//yrv should be ready by now</span> 
     154<a name="l00149"></a>00149                 <a class="code" href="bdmerror_8h.html#89a0f906b242b79c5d3d342291b2cab4" title="Throw std::runtime_exception if t is not true and NDEBUG is not defined.">bdm_assert_debug</a> ( <a class="code" href="classbdm_1_1ARX.html#363aaa55b2ab3eec602510cdf53e84ef">_yrv</a>._dsize() == <a class="code" href="classbdm_1_1ARX.html#8e68db2a218d54b09304cad6c0a897d9" title="size of output variable (needed in regressors)">dimx</a>, <span class="stringliteral">"incompatible drv"</span> ); 
     155<a name="l00150"></a>00150                 <span class="keywordflow">return</span> <a class="code" href="classbdm_1_1ARX.html#363aaa55b2ab3eec602510cdf53e84ef">_yrv</a>; 
     156<a name="l00151"></a>00151         } 
     157<a name="l00153"></a>00153  
     158<a name="l00174"></a>00174         <span class="keywordtype">void</span> <a class="code" href="classbdm_1_1ARX.html#9637412df898048bafaefee9dc7e9f6c">from_setting</a> ( <span class="keyword">const</span> Setting &amp;<span class="keyword">set</span> ); 
     159<a name="l00175"></a>00175  
     160<a name="l00176"></a><a class="code" href="classbdm_1_1ARX.html#5b4ae27fa320a1b6e09777239210566d">00176</a>         <span class="keywordtype">void</span> <a class="code" href="classbdm_1_1ARX.html#5b4ae27fa320a1b6e09777239210566d" title="This method TODO.">validate</a>() { 
     161<a name="l00177"></a>00177                 <a class="code" href="bdmerror_8h.html#7a3399d182b8e3065532596e76f84849" title="Throw std::runtime_exception if t is not true.">bdm_assert</a>(<a class="code" href="classbdm_1_1ARX.html#8e68db2a218d54b09304cad6c0a897d9" title="size of output variable (needed in regressors)">dimx</a> == <a class="code" href="classbdm_1_1ARX.html#363aaa55b2ab3eec602510cdf53e84ef">_yrv</a>.<a class="code" href="classbdm_1_1RV.html#de30156104f61d86c94f758861418089" title="total size of a random variable">_dsize</a>(), <span class="stringliteral">"RVs of parameters and regressor do not match"</span>); 
     162<a name="l00178"></a>00178                  
     163<a name="l00179"></a>00179         } 
     164<a name="l00180"></a>00180 }; 
    168165<a name="l00181"></a>00181  
    169 <a name="l00185"></a><a class="code" href="classbdm_1_1ARXfrg.html">00185</a> <span class="keyword">class </span><a class="code" href="classbdm_1_1ARXfrg.html">ARXfrg</a> : <span class="keyword">public</span> <a class="code" href="classbdm_1_1ARX.html" title="Linear Autoregressive model with Gaussian noise.">ARX</a>{ 
    170 <a name="l00186"></a>00186         <span class="keyword">public</span>: 
    171 <a name="l00187"></a>00187                 <a class="code" href="classbdm_1_1ARXfrg.html">ARXfrg</a>():<a class="code" href="classbdm_1_1ARX.html" title="Linear Autoregressive model with Gaussian noise.">ARX</a>(){}; 
    172 <a name="l00188"></a>00188                 <a class="code" href="classbdm_1_1ARXfrg.html">ARXfrg</a>(<span class="keyword">const</span> <a class="code" href="classbdm_1_1ARXfrg.html">ARXfrg</a> &amp;A0):<a class="code" href="classbdm_1_1ARX.html" title="Linear Autoregressive model with Gaussian noise.">ARX</a>(A0){}; 
    173 <a name="l00189"></a><a class="code" href="classbdm_1_1ARXfrg.html#a420f3f195d231723f2f2329ec900de60">00189</a>                 <a class="code" href="classbdm_1_1ARXfrg.html">ARXfrg</a>* <a class="code" href="classbdm_1_1ARXfrg.html#a420f3f195d231723f2f2329ec900de60">_copy_</a>()<span class="keyword"> const </span>{<a class="code" href="classbdm_1_1ARXfrg.html">ARXfrg</a> *A = <span class="keyword">new</span> <a class="code" href="classbdm_1_1ARXfrg.html">ARXfrg</a>(*<span class="keyword">this</span>); <span class="keywordflow">return</span> A;} 
    174 <a name="l00190"></a><a class="code" href="classbdm_1_1ARXfrg.html#a2baaf50640620cbd4c089a608e0c41bb">00190</a>         <span class="keywordtype">void</span> <a class="code" href="classbdm_1_1ARXfrg.html#a2baaf50640620cbd4c089a608e0c41bb" title="Substitute val for rvc.">condition</a>(<span class="keyword">const</span> vec &amp;val){ 
    175 <a name="l00191"></a>00191                 <a class="code" href="classbdm_1_1BMEF.html#a1331865e10fb1ccef65bb4c47fa3be64" title="forgetting factor">frg</a> = val(0); 
    176 <a name="l00192"></a>00192         } 
    177 <a name="l00193"></a>00193 }; 
    178 <a name="l00194"></a>00194 <a class="code" href="user__info_8h.html#a4f9de2f17e844047726487b99def99c6" title="Macro for registration of class into map of user-infos, registered class is scriptable...">UIREGISTER</a>(ARXfrg); 
    179 <a name="l00195"></a>00195 }; 
    180 <a name="l00196"></a>00196 <span class="preprocessor">#endif // AR_H</span> 
    181 <a name="l00197"></a>00197 <span class="preprocessor"></span> 
    182 <a name="l00198"></a>00198  
     166<a name="l00182"></a>00182 <a class="code" href="user__info_8h.html#4f9de2f17e844047726487b99def99c6" title="Macro for registration of class into map of user-infos, registered class is scriptable...">UIREGISTER</a> ( ARX ); 
     167<a name="l00183"></a>00183 SHAREDPTR ( ARX ); 
     168<a name="l00184"></a>00184  
     169<a name="l00188"></a><a class="code" href="classbdm_1_1ARXfrg.html">00188</a> <span class="keyword">class </span><a class="code" href="classbdm_1_1ARXfrg.html">ARXfrg</a> : <span class="keyword">public</span> <a class="code" href="classbdm_1_1ARX.html" title="Linear Autoregressive model with Gaussian noise.">ARX</a>{ 
     170<a name="l00189"></a>00189         <span class="keyword">public</span>: 
     171<a name="l00190"></a>00190                 <a class="code" href="classbdm_1_1ARXfrg.html">ARXfrg</a>():<a class="code" href="classbdm_1_1ARX.html" title="Linear Autoregressive model with Gaussian noise.">ARX</a>(){}; 
     172<a name="l00191"></a>00191                 <a class="code" href="classbdm_1_1ARXfrg.html">ARXfrg</a>(<span class="keyword">const</span> <a class="code" href="classbdm_1_1ARXfrg.html">ARXfrg</a> &amp;A0):<a class="code" href="classbdm_1_1ARX.html" title="Linear Autoregressive model with Gaussian noise.">ARX</a>(A0){}; 
     173<a name="l00192"></a><a class="code" href="classbdm_1_1ARXfrg.html#420f3f195d231723f2f2329ec900de60">00192</a>                 <a class="code" href="classbdm_1_1ARXfrg.html">ARXfrg</a>* <a class="code" href="classbdm_1_1ARXfrg.html#420f3f195d231723f2f2329ec900de60">_copy_</a>()<span class="keyword"> const </span>{<a class="code" href="classbdm_1_1ARXfrg.html">ARXfrg</a> *A = <span class="keyword">new</span> <a class="code" href="classbdm_1_1ARXfrg.html">ARXfrg</a>(*<span class="keyword">this</span>); <span class="keywordflow">return</span> A;} 
     174<a name="l00193"></a><a class="code" href="classbdm_1_1ARXfrg.html#2baaf50640620cbd4c089a608e0c41bb">00193</a>         <span class="keywordtype">void</span> <a class="code" href="classbdm_1_1ARXfrg.html#2baaf50640620cbd4c089a608e0c41bb" title="Substitute val for rvc.">condition</a>(<span class="keyword">const</span> vec &amp;val){ 
     175<a name="l00194"></a>00194                 <a class="code" href="classbdm_1_1BMEF.html#1331865e10fb1ccef65bb4c47fa3be64" title="forgetting factor">frg</a> = val(0); 
     176<a name="l00195"></a>00195         } 
     177<a name="l00196"></a>00196 }; 
     178<a name="l00197"></a>00197 <a class="code" href="user__info_8h.html#4f9de2f17e844047726487b99def99c6" title="Macro for registration of class into map of user-infos, registered class is scriptable...">UIREGISTER</a>(ARXfrg); 
     179<a name="l00198"></a>00198 }; 
     180<a name="l00199"></a>00199 <span class="preprocessor">#endif // AR_H</span> 
     181<a name="l00200"></a>00200 <span class="preprocessor"></span> 
     182<a name="l00201"></a>00201  
    183183</pre></div></div> 
    184 <hr size="1"/><address style="text-align: right;"><small>Generated on Sun Sep 27 00:49:04 2009 for mixpp by&nbsp; 
     184<hr size="1"><address style="text-align: right;"><small>Generated on Wed Oct 7 17:34:42 2009 for mixpp by&nbsp; 
    185185<a href="http://www.doxygen.org/index.html"> 
    186 <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.6.1 </small></address> 
     186<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.9 </small></address> 
    187187</body> 
    188188</html>