mhjensen
307 lines
10 KiB
HTML
307 lines
10 KiB
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<title>Data Analysis and Machine Learning: Elements of Bayesian theory</title>
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<section>
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<!-- ------------------- main content ---------------------- -->
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<center><h1 style="text-align: center;">Data Analysis and Machine Learning: Elements of Bayesian theory</h1></center> <!-- document title -->
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<p>
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<!-- author(s): Morten Hjorth-Jensen -->
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<center>
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<b>Morten Hjorth-Jensen</b> [1, 2]
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</center>
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<p> <br>
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<!-- institution(s) -->
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<center>[1] <b>Department of Physics, University of Oslo</b></center>
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<center>[2] <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> <br>
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<center><h4>Dec 13, 2017</h4></center> <!-- date -->
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<br>
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<p>
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<center style="font-size:80%">
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<!-- copyright --> © 1999-2017, Morten Hjorth-Jensen. Released under CC Attribution-NonCommercial 4.0 license
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</center>
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</section>
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<section>
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<h2 id="___sec0">What is Bayesian Statistics </h2>
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<div class="alert alert-block alert-block alert-text-normal">
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<b></b>
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<p>
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Say something more general here. Reminder about probabilities from the statistics section
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<ol>
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<p><li> Product rule</li>
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<p><li> Binomial distribution</li>
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<p><li> Gaussian PDF</li>
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<p><li> other PDFs</li>
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<p><li> Bayesian regression analysis</li>
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</ol>
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</div>
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