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    <compoundname>BM</compoundname>
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    <derivedcompoundref refid="classEKFfixed" prot="public" virt="non-virtual">EKFfixed</derivedcompoundref>
    <derivedcompoundref refid="classEKFfull" prot="public" virt="non-virtual">EKFfull</derivedcompoundref>
    <derivedcompoundref refid="classKalman" prot="public" virt="non-virtual">Kalman&lt; sq_T &gt;</derivedcompoundref>
    <derivedcompoundref refid="classKalman" prot="public" virt="non-virtual">Kalman&lt; chmat &gt;</derivedcompoundref>
    <derivedcompoundref refid="classKalman" prot="public" virt="non-virtual">Kalman&lt; fsqmat &gt;</derivedcompoundref>
    <derivedcompoundref refid="classKalman" prot="public" virt="non-virtual">Kalman&lt; ldmat &gt;</derivedcompoundref>
    <derivedcompoundref refid="classPF" prot="public" virt="non-virtual">PF</derivedcompoundref>
    <includes refid="libBM_8h" local="no">libBM.h</includes>
      <sectiondef kind="protected-attrib">
      <memberdef kind="variable" id="classBM_1af00f0612fabe66241dd507188cdbf88" prot="protected" static="no" mutable="no">
        <type><ref refid="classRV" kindref="compound">RV</ref></type>
        <definition>RV BM::rv</definition>
        <argsstring></argsstring>
        <name>rv</name>
        <briefdescription>
<para>Random variable of the posterior. </para>        </briefdescription>
        <detaileddescription>
        </detaileddescription>
        <inbodydescription>
        </inbodydescription>
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        <referencedby refid="classBM_1126bd2595c48e311fc2a7ab72876092a" compoundref="libBM_8h" startline="287" endline="287">_rv</referencedby>
        <referencedby refid="classMPF_1fc5e11e11eec3195e3c6503937bf02bd" compoundref="libPF_8h" startline="104" endline="117">MPF&lt; BM_T &gt;::MPF</referencedby>
        <referencedby refid="classEKFfull_1fc753106e0d4cf68e4f2160fd54458c0" compoundref="libKF_8cpp" startline="66" endline="84">EKFfull::set_parameters</referencedby>
        <referencedby refid="classARX_1130bb7336aac681ce14b027b8f1409fa" compoundref="bdm_2estim_2arx_8cpp" startline="82" endline="86">ARX::structure_est</referencedby>
      </memberdef>
      <memberdef kind="variable" id="classBM_15623fef6572a08c2b53b8c87b82dc979" prot="protected" static="no" mutable="no">
        <type>double</type>
        <definition>double BM::ll</definition>
        <argsstring></argsstring>
        <name>ll</name>
        <briefdescription>
<para>Logarithm of marginalized data likelihood. </para>        </briefdescription>
        <detaileddescription>
        </detaileddescription>
        <inbodydescription>
        </inbodydescription>
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        <referencedby refid="classKalman_17750ffd73f261828a32c18aaeb65c75c" compoundref="libKF_8h" startline="302" endline="337">Kalman&lt; sq_T &gt;::bayes</referencedby>
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        <type>bool</type>
        <definition>bool BM::evalll</definition>
        <argsstring></argsstring>
        <name>evalll</name>
        <briefdescription>
<para>If true, the filter will compute likelihood of the data record and store it in <computeroutput>ll</computeroutput> . Set to false if you want to save time. </para>        </briefdescription>
        <detaileddescription>
        </detaileddescription>
        <inbodydescription>
        </inbodydescription>
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        <referencedby refid="classEKFfixed_1ddf5334bc1207658fd53698fffbac028" compoundref="ekf__obj_8cpp" startline="10" endline="38">EKFfixed::bayes</referencedby>
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        <referencedby refid="classKalman_17750ffd73f261828a32c18aaeb65c75c" compoundref="libKF_8h" startline="302" endline="337">Kalman&lt; sq_T &gt;::bayes</referencedby>
        <referencedby refid="classEKFCh_196f6edda324a0b7ef8b4e86cc7af60c1" compoundref="libKF_8cpp" startline="189" endline="236">EKFCh::bayes</referencedby>
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        <referencedby refid="classARX_1ba82c956ca893826811aefe1e4af465d" compoundref="bdm_2estim_2arx_8cpp" startline="5" endline="24">ARX::bayes</referencedby>
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        <type></type>
        <definition>BM::BM</definition>
        <argsstring>(const RV &amp;rv0)</argsstring>
        <name>BM</name>
        <param>
          <type>const <ref refid="classRV" kindref="compound">RV</ref> &amp;</type>
          <declname>rv0</declname>
        </param>
        <briefdescription>
<para>Default constructor. </para>        </briefdescription>
        <detaileddescription>
        </detaileddescription>
        <inbodydescription>
        </inbodydescription>
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        <type>void</type>
        <definition>virtual void BM::bayes</definition>
        <argsstring>(const vec &amp;dt)=0</argsstring>
        <name>bayes</name>
        <reimplementedby refid="classKalman_17750ffd73f261828a32c18aaeb65c75c">bayes</reimplementedby>
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        <param>
          <type>const vec &amp;</type>
          <declname>dt</declname>
        </param>
        <briefdescription>
<para>Incremental Bayes rule. </para>        </briefdescription>
        <detaileddescription>
<para><parameterlist kind="param"><parameteritem>
<parameternamelist>
<parametername>dt</parametername>
</parameternamelist>
<parameterdescription>
<para>vector of input data </para></parameterdescription>
</parameteritem>
</parameterlist>
</para>        </detaileddescription>
        <inbodydescription>
        </inbodydescription>
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        <type>void</type>
        <definition>void BM::bayes</definition>
        <argsstring>(mat Dt)</argsstring>
        <name>bayes</name>
        <param>
          <type>mat</type>
          <declname>Dt</declname>
        </param>
        <briefdescription>
<para>Batch Bayes rule (columns of Dt are observations). </para>        </briefdescription>
        <detaileddescription>
        </detaileddescription>
        <inbodydescription>
        </inbodydescription>
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        <type><ref refid="classepdf" kindref="compound">epdf</ref> &amp;</type>
        <definition>virtual epdf&amp; BM::_epdf</definition>
        <argsstring>()=0</argsstring>
        <name>_epdf</name>
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        <reimplementedby refid="classMPF_1549e08268a46a250f21a33d06f19276a">_epdf</reimplementedby>
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        <reimplementedby refid="classARX_19d8eff7a9df81786191a4c55b27e5b8a">_epdf</reimplementedby>
        <briefdescription>
<para>Returns a pointer to the <ref refid="classepdf" kindref="compound">epdf</ref> representing posterior density on parameters. Use with care! </para>        </briefdescription>
        <detaileddescription>
        </detaileddescription>
        <inbodydescription>
        </inbodydescription>
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        <type></type>
        <definition>virtual BM::~BM</definition>
        <argsstring>()</argsstring>
        <name>~BM</name>
        <briefdescription>
<para>Destructor for future use;. </para>        </briefdescription>
        <detaileddescription>
        </detaileddescription>
        <inbodydescription>
        </inbodydescription>
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        <type>const <ref refid="classRV" kindref="compound">RV</ref> &amp;</type>
        <definition>const RV&amp; BM::_rv</definition>
        <argsstring>() const </argsstring>
        <name>_rv</name>
        <briefdescription>
<para>access function </para>        </briefdescription>
        <detaileddescription>
        </detaileddescription>
        <inbodydescription>
        </inbodydescription>
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        <references refid="classBM_1af00f0612fabe66241dd507188cdbf88" compoundref="libBM_8h" startline="264">rv</references>
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        <type>double</type>
        <definition>double BM::_ll</definition>
        <argsstring>() const </argsstring>
        <name>_ll</name>
        <briefdescription>
<para>access function </para>        </briefdescription>
        <detaileddescription>
        </detaileddescription>
        <inbodydescription>
        </inbodydescription>
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        <references refid="classBM_15623fef6572a08c2b53b8c87b82dc979" compoundref="libBM_8h" startline="266">ll</references>
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    <briefdescription>
<para>Bayesian Model of the world, i.e. all uncertainty is modeled by probabilities. </para>    </briefdescription>
    <detaileddescription>
    </detaileddescription>
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