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  <compounddef id="classeEmp" kind="class" prot="public">
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        <type>int</type>
        <definition>int eEmp::n</definition>
        <argsstring></argsstring>
        <name>n</name>
        <briefdescription>
<para>Number of particles. </para>        </briefdescription>
        <detaileddescription>
        </detaileddescription>
        <inbodydescription>
        </inbodydescription>
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        <argsstring></argsstring>
        <name>w</name>
        <briefdescription>
<para>Sample weights <formula id="44">$w$</formula>. </para>        </briefdescription>
        <detaileddescription>
        </detaileddescription>
        <inbodydescription>
        </inbodydescription>
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        <definition>Array&lt;vec&gt; eEmp::samples</definition>
        <argsstring></argsstring>
        <name>samples</name>
        <briefdescription>
<para>Samples <formula id="9">$x^{(i)}, i=1..n$</formula>. </para>        </briefdescription>
        <detaileddescription>
        </detaileddescription>
        <inbodydescription>
        </inbodydescription>
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        <definition>RV epdf::rv</definition>
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        <name>rv</name>
        <briefdescription>
<para>Identified of the random variable. </para>        </briefdescription>
        <detaileddescription>
        </detaileddescription>
        <inbodydescription>
        </inbodydescription>
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        <argsstring>(const RV &amp;rv0, int n0)</argsstring>
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        <param>
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          <declname>rv0</declname>
        </param>
        <param>
          <type>int</type>
          <declname>n0</declname>
        </param>
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<para>Default constructor. </para>        </briefdescription>
        <detaileddescription>
        </detaileddescription>
        <inbodydescription>
        </inbodydescription>
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        <type>void</type>
        <definition>void eEmp::set_parameters</definition>
        <argsstring>(const vec &amp;w0, epdf *pdf0)</argsstring>
        <name>set_parameters</name>
        <param>
          <type>const vec &amp;</type>
          <declname>w0</declname>
        </param>
        <param>
          <type><ref refid="classepdf" kindref="compound">epdf</ref> *</type>
          <declname>pdf0</declname>
        </param>
        <briefdescription>
<para>Set sample. </para>        </briefdescription>
        <detaileddescription>
        </detaileddescription>
        <inbodydescription>
        </inbodydescription>
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        <definition>vec&amp; eEmp::_w</definition>
        <argsstring>()</argsstring>
        <name>_w</name>
        <briefdescription>
<para>Potentially dangerous, use with care. </para>        </briefdescription>
        <detaileddescription>
        </detaileddescription>
        <inbodydescription>
        </inbodydescription>
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        <definition>Array&lt;vec&gt;&amp; eEmp::_samples</definition>
        <argsstring>()</argsstring>
        <name>_samples</name>
        <briefdescription>
<para>access function </para>        </briefdescription>
        <detaileddescription>
        </detaileddescription>
        <inbodydescription>
        </inbodydescription>
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        <definition>ivec eEmp::resample</definition>
        <argsstring>(RESAMPLING_METHOD method=SYSTEMATIC)</argsstring>
        <name>resample</name>
        <param>
          <type><ref refid="libEF_8h_199497a3ff630f761cf6bff7babd23212" kindref="member">RESAMPLING_METHOD</ref></type>
          <declname>method</declname>
          <defval>SYSTEMATIC</defval>
        </param>
        <briefdescription>
<para>Function performs resampling, i.e. removal of low-weight samples and duplication of high-weight samples such that the new samples represent the same density. </para>        </briefdescription>
        <detaileddescription>
        </detaileddescription>
        <inbodydescription>
        </inbodydescription>
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        <name>sample</name>
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        <briefdescription>
<para>inherited operation : NOT implemneted </para>        </briefdescription>
        <detaileddescription>
        </detaileddescription>
        <inbodydescription>
        </inbodydescription>
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        <name>evalpdflog</name>
        <reimplements refid="classepdf_16aef3eca74899692503769c18add1a4c">evalpdflog</reimplements>
        <param>
          <type>const vec &amp;</type>
          <declname>val</declname>
        </param>
        <briefdescription>
<para>inherited operation : NOT implemneted </para>        </briefdescription>
        <detaileddescription>
        </detaileddescription>
        <inbodydescription>
        </inbodydescription>
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        <name>mean</name>
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        <briefdescription>
<para>return expected value </para>        </briefdescription>
        <detaileddescription>
        </detaileddescription>
        <inbodydescription>
        </inbodydescription>
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        <references refid="classRV_1f5c7b8bd589eef09ccdf3329a0addea0" compoundref="libBM_8h" startline="69" endline="69">RV::count</references>
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        <name>sampleN</name>
        <param>
          <type>int</type>
          <declname>N</declname>
        </param>
        <briefdescription>
<para>Returns N samples from density <formula id="59">$epdf(rv)$</formula>. </para>        </briefdescription>
        <detaileddescription>
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        <inbodydescription>
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        <param>
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<para>Compute probability of argument <computeroutput>val</computeroutput>. </para>        </briefdescription>
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<para>access function, possibly dangerous! </para>        </briefdescription>
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    <briefdescription>
<para>Weighted empirical density. </para>    </briefdescription>
    <detaileddescription>
<para>Used e.g. in particle filters. </para>    </detaileddescription>
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