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<title>src/Statistics/BiPDF.hpp file | Quinoa docs</title>
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<span class="m-breadcrumb"><a href="dir_68267d1309a1af8e8297ef4c3efbcdba.html">src</a>/</span><span class="m-breadcrumb"><a href="dir_6fdd8960e488ddc37ec3b0a7ad177f67.html">Statistics</a>/</span>BiPDF.hpp <span class="m-thin">file</span>
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<p>Joint bivariate PDF estimator.</p>
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<h3>Contents</h3>
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Reference
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<aside class="m-note m-default"><h4>Copyright</h4><p>2012-2015 J. Bakosi, 2016-2018 Los Alamos National Security, LLC., 2019-2021 Triad National Security, LLC. All rights reserved. See the LICENSE file for details.</p></aside><p>Joint bivariate PDF estimator. This class can be used to estimate a joint probability density function (PDF) of two scalar variables from an ensemble. The implementation uses the standard container std::unordered_map, which is a hash-based associative container with linear algorithmic complexity for insertion of a new sample.</p>
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<h2><a href="#namespaces">Namespaces</a></h2>
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class <a href="classtk_1_1_bi_p_d_f.html" class="m-dox">tk::BiPDF</a>
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<dd>Joint bivariate PDF estimator.</dd>
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<p>Quinoa docs, part of the <a href="https://github.com/quinoacomputing/">Quinoa project</a>. Copyright © J. Bakosi 2012–2015, Los Alamos National Security, LLC, 2016–2018, <a href="https://www.triadns.org/">Triad National Security, LLC,</a> 2019-2023. Generated on Thursday, May 30, 2024 using <a href="http://doxygen.org/">Doxygen</a> and <a href="http://mcss.mosra.cz/">m.css</a>. Contact us via <a href="https://github.com/quinoacomputing/quinoa/issues">GitHub</a>.</p>
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