mhjensen
228 lines
9.7 KiB
HTML
228 lines
9.7 KiB
HTML
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<!-- navigation toc: --> <li><a href="._Bayesian-bs001.html#___sec0" style="font-size: 80%;"><b>Why Bayesian Statistics?</b></a></li>
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<!-- navigation toc: --> <li><a href="._Bayesian-bs002.html#___sec1" style="font-size: 80%;"><b>Inference</b></a></li>
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<!-- navigation toc: --> <li><a href="._Bayesian-bs003.html#___sec2" style="font-size: 80%;"><b>Statistical Inference</b></a></li>
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<!-- navigation toc: --> <li><a href="._Bayesian-bs004.html#___sec3" style="font-size: 80%;"><b>Some history</b></a></li>
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<!-- navigation toc: --> <li><a href="._Bayesian-bs010.html#___sec4" style="font-size: 80%;"><b>The Bayesian recipe</b></a></li>
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<!-- navigation toc: --> <li><a href="._Bayesian-bs011.html#___sec5" style="font-size: 80%;"><b>Bayes' theorem</b></a></li>
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<!-- navigation toc: --> <li><a href="._Bayesian-bs013.html#___sec6" style="font-size: 80%;"><b>The friends of Bayes' theorem</b></a></li>
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<!-- navigation toc: --> <li><a href="._Bayesian-bs014.html#___sec7" style="font-size: 80%;"><b>Inference With Parametric Models</b></a></li>
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<!-- navigation toc: --> <li><a href="._Bayesian-bs016.html#___sec8" style="font-size: 80%;"><b>Illustrative examples with python code</b></a></li>
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<!-- navigation toc: --> <li><a href="._Bayesian-bs017.html#___sec9" style="font-size: 80%;"><b>Example: Is this a fair coin?</b></a></li>
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<!-- navigation toc: --> <li><a href="._Bayesian-bs018.html#___sec10" style="font-size: 80%;"><b>A few words on different priors</b></a></li>
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<!-- navigation toc: --> <li><a href="._Bayesian-bs019.html#___sec11" style="font-size: 80%;"><b>Bayesian parameter estimation (single parameter)</b></a></li>
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<!-- navigation toc: --> <li><a href="._Bayesian-bs020.html#___sec12" style="font-size: 80%;"> Example: Measured flux from a star</a></li>
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<!-- navigation toc: --> <li><a href="._Bayesian-bs020.html#___sec13" style="font-size: 80%;"> Simple Photon Counts: Frequentist Approach</a></li>
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<!-- navigation toc: --> <li><a href="._Bayesian-bs020.html#___sec14" style="font-size: 80%;"> Simple Photon Counts: Bayesian Approach</a></li>
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<!-- navigation toc: --> <li><a href="._Bayesian-bs020.html#___sec15" style="font-size: 80%;"> A note about priors</a></li>
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<!-- navigation toc: --> <li><a href="._Bayesian-bs020.html#___sec16" style="font-size: 80%;"> Simple Photon Counts: Bayesian approach in practice</a></li>
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<!-- navigation toc: --> <li><a href="._Bayesian-bs020.html#___sec17" style="font-size: 80%;"> Best estimates and confidence intervals</a></li>
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<!-- navigation toc: --> <li><a href="._Bayesian-bs020.html#___sec18" style="font-size: 80%;"> Simple Photon Counts: Best estimates and confidence intervals</a></li>
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<!-- navigation toc: --> <li><a href="._Bayesian-bs021.html#___sec19" style="font-size: 80%;"><b>Bayesian parameter estimation (multiple parameters, covariance)</b></a></li>
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<!-- navigation toc: --> <li><a href="._Bayesian-bs022.html#___sec20" style="font-size: 80%;"><b>Bayesian model selection</b></a></li>
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<a name="part0000"></a>
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<!-- ------------------- main content ---------------------- -->
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<div class="jumbotron">
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<center><h1>Data Analysis and Machine Learning: Elements of Bayesian theory and Bayesian Neural Networks</h1></center> <!-- document title -->
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<p>
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<!-- author(s): Christian Forssén, and Morten Hjorth-Jensen -->
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<center>
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<b>Christian Forssén</b> [1]
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</center>
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<center>
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<b>Morten Hjorth-Jensen</b> [2, 3]
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<!-- institution(s) -->
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<center>[1] <b>Department of Physics, Chalmers University of Technology, Sweden</b></center>
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<center>[2] <b>Department of Physics, University of Oslo</b></center>
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<center>[3] <b>Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University</b></center>
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<br>
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<p>
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<center><h4>Jun 8, 2019</h4></center> <!-- date -->
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<br>
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<p><a href="._Bayesian-bs001.html" class="btn btn-primary btn-lg">Read »</a></p>
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<li class="active"><a href="._Bayesian-bs000.html">1</a></li>
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<li><a href="._Bayesian-bs001.html">2</a></li>
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<li><a href="._Bayesian-bs002.html">3</a></li>
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<li><a href="._Bayesian-bs003.html">4</a></li>
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<li><a href="._Bayesian-bs004.html">5</a></li>
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<li><a href="._Bayesian-bs005.html">6</a></li>
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<li><a href="._Bayesian-bs006.html">7</a></li>
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<li><a href="._Bayesian-bs007.html">8</a></li>
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<li><a href="._Bayesian-bs008.html">9</a></li>
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<li><a href="._Bayesian-bs009.html">10</a></li>
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<li><a href="">...</a></li>
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<li><a href="._Bayesian-bs022.html">23</a></li>
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<li><a href="._Bayesian-bs001.html">»</a></li>
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<!-- copyright --> © 1999-2019, Morten Hjorth-Jensen. Released under CC Attribution-NonCommercial 4.0 license
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