34 | | <a name="l00048"></a>00048 <span class="keyword">public</span>: |
35 | | <a name="l00050"></a><a class="code" href="classARX.html#5fc6c18e73dcc0f1135eef33f42db8be">00050</a> <a class="code" href="classARX.html#5fc6c18e73dcc0f1135eef33f42db8be" title="Full constructor.">ARX</a> (<a class="code" href="classRV.html" title="Class representing variables, most often random variables.">RV</a> &<a class="code" href="classBM.html#af00f0612fabe66241dd507188cdbf88" title="Random variable of the posterior.">rv</a>, mat &V0, <span class="keywordtype">double</span> &nu0, <span class="keywordtype">double</span> frg0=1.0) : <a class="code" href="classBM.html" title="Bayesian Model of the world, i.e. all uncertainty is modeled by probabilities.">BM</a>(rv),<a class="code" href="classARX.html#691d023662beffa1dda611b416c0e27e" title="Posterior estimate of in the form of Normal-inverse Wishart density.">est</a>(rv,V0,nu0), <a class="code" href="classARX.html#2291297861dd74ca0175a01f910a0ef7" title="cached value of est.V">V</a>(<a class="code" href="classARX.html#691d023662beffa1dda611b416c0e27e" title="Posterior estimate of in the form of Normal-inverse Wishart density.">est</a>._V()), <a class="code" href="classARX.html#a4182c281098b2d86b62518a7493d9be" title="cached value of est.nu">nu</a>(<a class="code" href="classARX.html#691d023662beffa1dda611b416c0e27e" title="Posterior estimate of in the form of Normal-inverse Wishart density.">est</a>._nu()), <a class="code" href="classARX.html#e467144efb0a5acbc10dba4eff8638fe" title="forgetting factor">frg</a>(frg0){<a class="code" href="classARX.html#6d0cd0f0734aa77cdc5e48f1cf6737ec" title="cached value of lognc() in the previous step (used in evaluation of ll )">last_lognc</a>=<a class="code" href="classARX.html#691d023662beffa1dda611b416c0e27e" title="Posterior estimate of in the form of Normal-inverse Wishart density.">est</a>.<a class="code" href="classegiw.html#70eb1a0b88459b227f919b425b0d3359" title="logarithm of the normalizing constant, ">lognc</a>();}; |
36 | | <a name="l00052"></a>00052 <span class="keywordtype">void</span> <a class="code" href="classARX.html#ba82c956ca893826811aefe1e4af465d" title="Here .">bayes</a> ( <span class="keyword">const</span> vec &dt ); |
37 | | <a name="l00053"></a><a class="code" href="classARX.html#9d8eff7a9df81786191a4c55b27e5b8a">00053</a> <a class="code" href="classepdf.html" title="Probability density function with numerical statistics, e.g. posterior density.">epdf</a>& <a class="code" href="classARX.html#9d8eff7a9df81786191a4c55b27e5b8a" title="Returns a pointer to the epdf representing posterior density on parameters. Use with...">_epdf</a>() {<span class="keywordflow">return</span> <a class="code" href="classARX.html#691d023662beffa1dda611b416c0e27e" title="Posterior estimate of in the form of Normal-inverse Wishart density.">est</a>;} |
38 | | <a name="l00055"></a>00055 ivec <a class="code" href="classARX.html#130bb7336aac681ce14b027b8f1409fa" title="Brute force structure estimation.">structure_est</a>(<a class="code" href="classegiw.html" title="Gauss-inverse-Wishart density stored in LD form.">egiw</a> Eg0); |
39 | | <a name="l00056"></a>00056 }; |
40 | | <a name="l00057"></a>00057 |
41 | | <a name="l00058"></a>00058 |
42 | | <a name="l00059"></a>00059 <span class="preprocessor">#endif // AR_H</span> |
43 | | <a name="l00060"></a>00060 <span class="preprocessor"></span> |
44 | | <a name="l00061"></a>00061 |
| 34 | <a name="l00049"></a><a class="code" href="classARX.html#64ea7c8ff48bf2548bac3e985e24da19">00049</a> <span class="keywordtype">double</span> <a class="code" href="classARX.html#64ea7c8ff48bf2548bac3e985e24da19" title="total likelihood">tll</a>; |
| 35 | <a name="l00050"></a>00050 <span class="keyword">public</span>: |
| 36 | <a name="l00052"></a><a class="code" href="classARX.html#5fc6c18e73dcc0f1135eef33f42db8be">00052</a> <a class="code" href="classARX.html#5fc6c18e73dcc0f1135eef33f42db8be" title="Full constructor.">ARX</a> (<a class="code" href="classRV.html" title="Class representing variables, most often random variables.">RV</a> &<a class="code" href="classBM.html#af00f0612fabe66241dd507188cdbf88" title="Random variable of the posterior.">rv</a>, mat &V0, <span class="keywordtype">double</span> &nu0, <span class="keywordtype">double</span> frg0=1.0) : <a class="code" href="classBM.html" title="Bayesian Model of the world, i.e. all uncertainty is modeled by probabilities.">BM</a>(rv),<a class="code" href="classARX.html#691d023662beffa1dda611b416c0e27e" title="Posterior estimate of in the form of Normal-inverse Wishart density.">est</a>(rv,V0,nu0), <a class="code" href="classARX.html#2291297861dd74ca0175a01f910a0ef7" title="cached value of est.V">V</a>(<a class="code" href="classARX.html#691d023662beffa1dda611b416c0e27e" title="Posterior estimate of in the form of Normal-inverse Wishart density.">est</a>._V()), <a class="code" href="classARX.html#a4182c281098b2d86b62518a7493d9be" title="cached value of est.nu">nu</a>(<a class="code" href="classARX.html#691d023662beffa1dda611b416c0e27e" title="Posterior estimate of in the form of Normal-inverse Wishart density.">est</a>._nu()), <a class="code" href="classARX.html#e467144efb0a5acbc10dba4eff8638fe" title="forgetting factor">frg</a>(frg0){<a class="code" href="classARX.html#6d0cd0f0734aa77cdc5e48f1cf6737ec" title="cached value of lognc() in the previous step (used in evaluation of ll )">last_lognc</a>=<a class="code" href="classARX.html#691d023662beffa1dda611b416c0e27e" title="Posterior estimate of in the form of Normal-inverse Wishart density.">est</a>.<a class="code" href="classegiw.html#70eb1a0b88459b227f919b425b0d3359" title="logarithm of the normalizing constant, ">lognc</a>();<a class="code" href="classARX.html#64ea7c8ff48bf2548bac3e985e24da19" title="total likelihood">tll</a>=0.0;}; |
| 37 | <a name="l00053"></a>00053 <span class="keywordtype">void</span> set_parameters(mat &V0, <span class="keywordtype">double</span> &nu0){<a class="code" href="classARX.html#691d023662beffa1dda611b416c0e27e" title="Posterior estimate of in the form of Normal-inverse Wishart density.">est</a>.<a class="code" href="classegiw.html#533e792e1175bfa06d5d595dc5d080d5" title="returns a pointer to the internal statistics. Use with Care!">_V</a>()=V0;<a class="code" href="classARX.html#691d023662beffa1dda611b416c0e27e" title="Posterior estimate of in the form of Normal-inverse Wishart density.">est</a>.<a class="code" href="classegiw.html#08029c481ff95d24f093df0573879afe" title="returns a pointer to the internal statistics. Use with Care!">_nu</a>()=nu0;<a class="code" href="classARX.html#6d0cd0f0734aa77cdc5e48f1cf6737ec" title="cached value of lognc() in the previous step (used in evaluation of ll )">last_lognc</a>=<a class="code" href="classARX.html#691d023662beffa1dda611b416c0e27e" title="Posterior estimate of in the form of Normal-inverse Wishart density.">est</a>.<a class="code" href="classegiw.html#70eb1a0b88459b227f919b425b0d3359" title="logarithm of the normalizing constant, ">lognc</a>();<a class="code" href="classARX.html#64ea7c8ff48bf2548bac3e985e24da19" title="total likelihood">tll</a>=<a class="code" href="classARX.html#6d0cd0f0734aa77cdc5e48f1cf6737ec" title="cached value of lognc() in the previous step (used in evaluation of ll )">last_lognc</a>;} |
| 38 | <a name="l00054"></a>00054 <span class="keywordtype">void</span> get_parameters(mat &V0, <span class="keywordtype">double</span> &nu0){V0=<a class="code" href="classARX.html#691d023662beffa1dda611b416c0e27e" title="Posterior estimate of in the form of Normal-inverse Wishart density.">est</a>.<a class="code" href="classegiw.html#533e792e1175bfa06d5d595dc5d080d5" title="returns a pointer to the internal statistics. Use with Care!">_V</a>().<a class="code" href="classldmat.html#5b0515da8dc2293d9e4360b74cc26c9e" title="Conversion to full matrix.">to_mat</a>(); nu0=<a class="code" href="classARX.html#691d023662beffa1dda611b416c0e27e" title="Posterior estimate of in the form of Normal-inverse Wishart density.">est</a>.<a class="code" href="classegiw.html#08029c481ff95d24f093df0573879afe" title="returns a pointer to the internal statistics. Use with Care!">_nu</a>();} |
| 39 | <a name="l00056"></a>00056 <span class="keywordtype">void</span> <a class="code" href="classARX.html#ba82c956ca893826811aefe1e4af465d" title="Here .">bayes</a> ( <span class="keyword">const</span> vec &dt ); |
| 40 | <a name="l00057"></a><a class="code" href="classARX.html#9d8eff7a9df81786191a4c55b27e5b8a">00057</a> <a class="code" href="classepdf.html" title="Probability density function with numerical statistics, e.g. posterior density.">epdf</a>& <a class="code" href="classARX.html#9d8eff7a9df81786191a4c55b27e5b8a" title="Returns a pointer to the epdf representing posterior density on parameters. Use with...">_epdf</a>() {<span class="keywordflow">return</span> <a class="code" href="classARX.html#691d023662beffa1dda611b416c0e27e" title="Posterior estimate of in the form of Normal-inverse Wishart density.">est</a>;} |
| 41 | <a name="l00059"></a>00059 ivec <a class="code" href="classARX.html#130bb7336aac681ce14b027b8f1409fa" title="Brute force structure estimation.">structure_est</a>(<a class="code" href="classegiw.html" title="Gauss-inverse-Wishart density stored in LD form.">egiw</a> Eg0); |
| 42 | <a name="l00061"></a><a class="code" href="classARX.html#b8827048ceec8999849e2ed15400cae7">00061</a> <span class="keywordtype">double</span> <a class="code" href="classARX.html#b8827048ceec8999849e2ed15400cae7" title="access function">_tll</a>(){<span class="keywordflow">return</span> <a class="code" href="classARX.html#64ea7c8ff48bf2548bac3e985e24da19" title="total likelihood">tll</a>;} |
| 43 | <a name="l00062"></a>00062 }; |
| 44 | <a name="l00063"></a>00063 |
| 45 | <a name="l00064"></a>00064 |
| 46 | <a name="l00065"></a>00065 <span class="preprocessor">#endif // AR_H</span> |
| 47 | <a name="l00066"></a>00066 <span class="preprocessor"></span> |
| 48 | <a name="l00067"></a>00067 |