<?xml version="1.0" encoding="utf-8"?><!DOCTYPE article  PUBLIC '-//OASIS//DTD DocBook XML V4.4//EN'  'http://www.docbook.org/xml/4.4/docbookx.dtd'><article><articleinfo><title>BayesianStuff</title><revhistory><revision><revnumber>13</revnumber><date>2013-03-08 10:28:26</date><authorinitials>localhost</authorinitials><revremark>converted to 1.6 markup</revremark></revision><revision><revnumber>12</revnumber><date>2008-05-15 12:52:06</date><authorinitials>IanNimmoSmith</authorinitials></revision><revision><revnumber>11</revnumber><date>2008-05-15 12:51:52</date><authorinitials>IanNimmoSmith</authorinitials></revision><revision><revnumber>10</revnumber><date>2008-05-15 12:51:05</date><authorinitials>IanNimmoSmith</authorinitials></revision><revision><revnumber>9</revnumber><date>2008-05-15 12:50:30</date><authorinitials>IanNimmoSmith</authorinitials></revision><revision><revnumber>8</revnumber><date>2008-05-15 12:50:11</date><authorinitials>IanNimmoSmith</authorinitials></revision><revision><revnumber>7</revnumber><date>2008-05-15 12:44:26</date><authorinitials>IanNimmoSmith</authorinitials></revision><revision><revnumber>6</revnumber><date>2008-05-15 12:43:36</date><authorinitials>IanNimmoSmith</authorinitials></revision><revision><revnumber>5</revnumber><date>2008-05-15 12:29:56</date><authorinitials>IanNimmoSmith</authorinitials></revision><revision><revnumber>4</revnumber><date>2008-05-15 12:29:27</date><authorinitials>IanNimmoSmith</authorinitials></revision><revision><revnumber>3</revnumber><date>2008-05-15 12:28:42</date><authorinitials>IanNimmoSmith</authorinitials></revision><revision><revnumber>2</revnumber><date>2008-05-15 12:26:41</date><authorinitials>IanNimmoSmith</authorinitials></revision><revision><revnumber>1</revnumber><date>2008-05-15 11:50:43</date><authorinitials>IanNimmoSmith</authorinitials></revision></revhistory></articleinfo><section><title>Bayesian Stuff</title><para>This page is for notes relating to various issues related to statistical modelling with a Bayesian flavour. </para><itemizedlist><listitem><para><link linkend="EmAlgorithm">EM (Expectation Maximisation) Algorithm</link> </para></listitem><listitem><para><link linkend="MCMC">MCMC (Markov Chain Monte Carlo) methods</link> </para></listitem></itemizedlist><section><title>EM (Expectation Maximisation) Algorithm</title><para><anchor id="EmAlgorithm"/> </para><para><ulink url="https://lsr-wiki-01.mrc-cbu.cam.ac.uk/methods/BayesianStuff/methods/BayesianStuff?action=AttachFile&amp;do=get&amp;target=bilmes-em-algorithm.pdf">Jeff A. Bilmes (1997)</ulink> A Gentle Tutorial of the EM Algorithm and its Application to Parameter Estimation for Gaussian Mixture and Hidden Markov Models. Uploaded from <ulink url="http://ssli.ee.washington.edu/people/bilmes/mypapers/em.ps.gz"/> </para></section><section><title>MCMC (Markov Chain Monte Carlo) methods</title><para><anchor id="MCMC"/> </para></section></section></article>