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	<title>Comments on: Bayesian Counterpart to Fisher Exact Test on Contingency Tables</title>
	<atom:link href="http://lingpipe-blog.com/2009/10/13/bayesian-counterpart-to-fisher-exact-test-on-contingency-tables/feed/" rel="self" type="application/rss+xml" />
	<link>http://lingpipe-blog.com/2009/10/13/bayesian-counterpart-to-fisher-exact-test-on-contingency-tables/</link>
	<description>Natural Language Processing and Text Analytics</description>
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		<title>By: Mehran Aflakparast</title>
		<link>http://lingpipe-blog.com/2009/10/13/bayesian-counterpart-to-fisher-exact-test-on-contingency-tables/#comment-14688</link>
		<dc:creator><![CDATA[Mehran Aflakparast]]></dc:creator>
		<pubDate>Sat, 04 Jun 2011 11:05:10 +0000</pubDate>
		<guid isPermaLink="false">http://lingpipe-blog.com/?p=2754#comment-14688</guid>
		<description><![CDATA[It is definitly related to my problem.
What I&#039;m looking for is a 2*L version of the method you presented here. But I have an other prior information which considers ordered probabilities for celles in contingency table (i.e. P1&lt;=P2&lt;=P3...&lt;=Pl).]]></description>
		<content:encoded><![CDATA[<p>It is definitly related to my problem.<br />
What I&#8217;m looking for is a 2*L version of the method you presented here. But I have an other prior information which considers ordered probabilities for celles in contingency table (i.e. P1&lt;=P2&lt;=P3&#8230;&lt;=Pl).</p>
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		<title>By: Bob Carpenter</title>
		<link>http://lingpipe-blog.com/2009/10/13/bayesian-counterpart-to-fisher-exact-test-on-contingency-tables/#comment-14632</link>
		<dc:creator><![CDATA[Bob Carpenter]]></dc:creator>
		<pubDate>Wed, 01 Jun 2011 21:27:31 +0000</pubDate>
		<guid isPermaLink="false">http://lingpipe-blog.com/?p=2754#comment-14632</guid>
		<description><![CDATA[I don&#039;t see how it relates to this post per se, but what you&#039;re looking for is perhaps ordinal logistic regression.   If you compute a Bayesian posterior via sampling, you can then do whatever you want with statistics over the posterior samples.]]></description>
		<content:encoded><![CDATA[<p>I don&#8217;t see how it relates to this post per se, but what you&#8217;re looking for is perhaps ordinal logistic regression.   If you compute a Bayesian posterior via sampling, you can then do whatever you want with statistics over the posterior samples.</p>
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		<title>By: Mehran Aflakparast</title>
		<link>http://lingpipe-blog.com/2009/10/13/bayesian-counterpart-to-fisher-exact-test-on-contingency-tables/#comment-14594</link>
		<dc:creator><![CDATA[Mehran Aflakparast]]></dc:creator>
		<pubDate>Tue, 31 May 2011 08:02:42 +0000</pubDate>
		<guid isPermaLink="false">http://lingpipe-blog.com/?p=2754#comment-14594</guid>
		<description><![CDATA[Your method sounds great! I wonder If I can use your method in my problem or not.
I am working on a data set with a binary response variable and discrete predictor variables (each has three state: 0,1,2).
I am willing to test independence between response variable and all combinations of predictor variable in a Bayesian framework.
I think it would be logical to assign a similarity between two adjacent categories (e.g. x1=0 , x2=0, x3=0, x4=0, x5=0  &amp;  x1=0 , x2=0, x3=0, x4=0, x5=1).
Thus, I want to use the property of similarity of probabilities in adjacent categories, when the categories are ordered.

Kindly give me a clue.]]></description>
		<content:encoded><![CDATA[<p>Your method sounds great! I wonder If I can use your method in my problem or not.<br />
I am working on a data set with a binary response variable and discrete predictor variables (each has three state: 0,1,2).<br />
I am willing to test independence between response variable and all combinations of predictor variable in a Bayesian framework.<br />
I think it would be logical to assign a similarity between two adjacent categories (e.g. x1=0 , x2=0, x3=0, x4=0, x5=0  &amp;  x1=0 , x2=0, x3=0, x4=0, x5=1).<br />
Thus, I want to use the property of similarity of probabilities in adjacent categories, when the categories are ordered.</p>
<p>Kindly give me a clue.</p>
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		<title>By: lingpipe</title>
		<link>http://lingpipe-blog.com/2009/10/13/bayesian-counterpart-to-fisher-exact-test-on-contingency-tables/#comment-9972</link>
		<dc:creator><![CDATA[lingpipe]]></dc:creator>
		<pubDate>Tue, 30 Nov 2010 22:51:02 +0000</pubDate>
		<guid isPermaLink="false">http://lingpipe-blog.com/?p=2754#comment-9972</guid>
		<description><![CDATA[I&#039;m toying with writing such a book myself.   But I&#039;d just steer clear of the whole frequentist notion of hypothesis testing.  I got distracted with the LingPipe book, which is much less mathematical.

I&#039;ve never really studied Bayes factors or model selection problems.  

I like the analysis of the actual Fisher exact test with the oddball improper priors Beta(0,1) and Beta(1,0).  I&#039;ll have to look that up and work through it.  

There must be better things to cite than Andrew&#039;s and my blog posts here!   There&#039;s pretty extensive discussion in Andrew&#039;s book and in the multiple comparisons paper I linked in the previous comment.]]></description>
		<content:encoded><![CDATA[<p>I&#8217;m toying with writing such a book myself.   But I&#8217;d just steer clear of the whole frequentist notion of hypothesis testing.  I got distracted with the LingPipe book, which is much less mathematical.</p>
<p>I&#8217;ve never really studied Bayes factors or model selection problems.  </p>
<p>I like the analysis of the actual Fisher exact test with the oddball improper priors Beta(0,1) and Beta(1,0).  I&#8217;ll have to look that up and work through it.  </p>
<p>There must be better things to cite than Andrew&#8217;s and my blog posts here!   There&#8217;s pretty extensive discussion in Andrew&#8217;s book and in the multiple comparisons paper I linked in the previous comment.</p>
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		<title>By: Kevin Murphy</title>
		<link>http://lingpipe-blog.com/2009/10/13/bayesian-counterpart-to-fisher-exact-test-on-contingency-tables/#comment-9963</link>
		<dc:creator><![CDATA[Kevin Murphy]]></dc:creator>
		<pubDate>Tue, 30 Nov 2010 21:43:54 +0000</pubDate>
		<guid isPermaLink="false">http://lingpipe-blog.com/?p=2754#comment-9963</guid>
		<description><![CDATA[Hi

I like this example, and have incorporated it into a book
I am writing called &quot;Machine learning: a probabilistic approach&quot;.
I thought readers of this blog might be interested to see
the relevant pages, which can be accessed here
   http://people.cs.ubc.ca/~murphyk/MLbook/pmlBFcoin.pdf
(A version with all the cross references fixed should
be ready in a year or so :)
In particular, I compare Gelman&#039;s p(delta&#124;D) method
to a more standard Bayes factor analysis.
The latter has a simple closed form solution which might be of
interest to Luke Hutchinson and others.

Please let me know your comments.

Kevin

PS. would &quot;psirusteam&quot; please translate his Spanish posting
(at http://predictive.files.wordpress.com/2009/10/binder2.pdf )
to English?]]></description>
		<content:encoded><![CDATA[<p>Hi</p>
<p>I like this example, and have incorporated it into a book<br />
I am writing called &#8220;Machine learning: a probabilistic approach&#8221;.<br />
I thought readers of this blog might be interested to see<br />
the relevant pages, which can be accessed here<br />
   <a href="http://people.cs.ubc.ca/~murphyk/MLbook/pmlBFcoin.pdf" rel="nofollow">http://people.cs.ubc.ca/~murphyk/MLbook/pmlBFcoin.pdf</a><br />
(A version with all the cross references fixed should<br />
be ready in a year or so :)<br />
In particular, I compare Gelman&#8217;s p(delta|D) method<br />
to a more standard Bayes factor analysis.<br />
The latter has a simple closed form solution which might be of<br />
interest to Luke Hutchinson and others.</p>
<p>Please let me know your comments.</p>
<p>Kevin</p>
<p>PS. would &#8220;psirusteam&#8221; please translate his Spanish posting<br />
(at <a href="http://predictive.files.wordpress.com/2009/10/binder2.pdf" rel="nofollow">http://predictive.files.wordpress.com/2009/10/binder2.pdf</a> )<br />
to English?</p>
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		<title>By: lingpipe</title>
		<link>http://lingpipe-blog.com/2009/10/13/bayesian-counterpart-to-fisher-exact-test-on-contingency-tables/#comment-9950</link>
		<dc:creator><![CDATA[lingpipe]]></dc:creator>
		<pubDate>Tue, 30 Nov 2010 19:26:32 +0000</pubDate>
		<guid isPermaLink="false">http://lingpipe-blog.com/?p=2754#comment-9950</guid>
		<description><![CDATA[No!  Don&#039;t cite me.  I didn&#039;t make this up -- it&#039;s just the standard Bayesian posterior inference.  

I was just working through the details for &lt;a href=&quot;http://www.stat.columbia.edu/~cook/movabletype/archives/2009/10/what_is_the_bay.html&quot; rel=&quot;nofollow&quot;&gt;Andrew Gelman&#039;s blog post&lt;/a&gt;.  

Andrew didn&#039;t make this up, either, though his (co-authored) book &lt;i&gt;Bayesian Data Analysis&lt;/i&gt; is my favorite general reference for the basics of Bayesian inference. 

In general, you want to build a hierarchical model of the population, which sensibly adjusts for data size relative to a population and can handle multiple comparisons.  See &lt;a href=&quot;http://www.stat.columbia.edu/~gelman/research/published/multiple2f.pdf&quot; rel=&quot;nofollow&quot;&gt;Andrew, Masanao and Jennifer&#039;s paper&lt;/a&gt; and my &lt;a href=&quot;http://lingpipe-blog.com/2009/11/04/hierarchicalbayesian-batting-ability-with-multiple-comparisons/&quot; rel=&quot;nofollow&quot;&gt;blog post&lt;/a&gt;.]]></description>
		<content:encoded><![CDATA[<p>No!  Don&#8217;t cite me.  I didn&#8217;t make this up &#8212; it&#8217;s just the standard Bayesian posterior inference.  </p>
<p>I was just working through the details for <a href="http://www.stat.columbia.edu/~cook/movabletype/archives/2009/10/what_is_the_bay.html" rel="nofollow">Andrew Gelman&#8217;s blog post</a>.  </p>
<p>Andrew didn&#8217;t make this up, either, though his (co-authored) book <i>Bayesian Data Analysis</i> is my favorite general reference for the basics of Bayesian inference. </p>
<p>In general, you want to build a hierarchical model of the population, which sensibly adjusts for data size relative to a population and can handle multiple comparisons.  See <a href="http://www.stat.columbia.edu/~gelman/research/published/multiple2f.pdf" rel="nofollow">Andrew, Masanao and Jennifer&#8217;s paper</a> and my <a href="http://lingpipe-blog.com/2009/11/04/hierarchicalbayesian-batting-ability-with-multiple-comparisons/" rel="nofollow">blog post</a>.</p>
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		<title>By: Beth Biller</title>
		<link>http://lingpipe-blog.com/2009/10/13/bayesian-counterpart-to-fisher-exact-test-on-contingency-tables/#comment-9917</link>
		<dc:creator><![CDATA[Beth Biller]]></dc:creator>
		<pubDate>Tue, 30 Nov 2010 14:44:40 +0000</pubDate>
		<guid isPermaLink="false">http://lingpipe-blog.com/?p=2754#comment-9917</guid>
		<description><![CDATA[This is super-useful... enough so that I&#039;d like to use this Bayesian method to replace the Fisher exact test method I have been using in the paper I am currently writing (in this particular astronomical application, I&#039;m comparing binarity fractions between two different samples of brown dwarfs) 

How should I cite you?]]></description>
		<content:encoded><![CDATA[<p>This is super-useful&#8230; enough so that I&#8217;d like to use this Bayesian method to replace the Fisher exact test method I have been using in the paper I am currently writing (in this particular astronomical application, I&#8217;m comparing binarity fractions between two different samples of brown dwarfs) </p>
<p>How should I cite you?</p>
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		<title>By: lingpipe</title>
		<link>http://lingpipe-blog.com/2009/10/13/bayesian-counterpart-to-fisher-exact-test-on-contingency-tables/#comment-9402</link>
		<dc:creator><![CDATA[lingpipe]]></dc:creator>
		<pubDate>Fri, 19 Nov 2010 20:25:35 +0000</pubDate>
		<guid isPermaLink="false">http://lingpipe-blog.com/?p=2754#comment-9402</guid>
		<description><![CDATA[I didn&#039;t write one, but it&#039;d be pretty simple.  Just translate all the binomials to multinomials and betas to Dirichlets.]]></description>
		<content:encoded><![CDATA[<p>I didn&#8217;t write one, but it&#8217;d be pretty simple.  Just translate all the binomials to multinomials and betas to Dirichlets.</p>
]]></content:encoded>
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		<title>By: Andrew</title>
		<link>http://lingpipe-blog.com/2009/10/13/bayesian-counterpart-to-fisher-exact-test-on-contingency-tables/#comment-9391</link>
		<dc:creator><![CDATA[Andrew]]></dc:creator>
		<pubDate>Fri, 19 Nov 2010 08:47:17 +0000</pubDate>
		<guid isPermaLink="false">http://lingpipe-blog.com/?p=2754#comment-9391</guid>
		<description><![CDATA[Very useful analysis and R code.

Is there an extension of it to handle larger r x c tables - e.g. 2 x 3?]]></description>
		<content:encoded><![CDATA[<p>Very useful analysis and R code.</p>
<p>Is there an extension of it to handle larger r x c tables &#8211; e.g. 2 x 3?</p>
]]></content:encoded>
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		<title>By: lingpipe</title>
		<link>http://lingpipe-blog.com/2009/10/13/bayesian-counterpart-to-fisher-exact-test-on-contingency-tables/#comment-9065</link>
		<dc:creator><![CDATA[lingpipe]]></dc:creator>
		<pubDate>Sat, 30 Oct 2010 05:05:14 +0000</pubDate>
		<guid isPermaLink="false">http://lingpipe-blog.com/?p=2754#comment-9065</guid>
		<description><![CDATA[For a quick look at Bayesian multiple comparisons, you can check out my baseball batting ability analysis:

http://lingpipe-blog.com/2009/11/04/hierarchicalbayesian-batting-ability-with-multiple-comparisons/

For more depth, check out Andrew, Jennifer and Masanao&#039;s paper and presentation, linked from this blog post:

http://www.stat.columbia.edu/~cook/movabletype/archives/2008/03/why_i_dont_usua_1.html

I&#039;ve been spending lots of time with RNA-Seq data lately, specifically differential gene or splice-variant of gene expression, as described here:

http://lingpipe-blog.com/2010/02/05/inferring-splice-variant-mrna-expression-rna-seq/

Of course, I had to reimplment the sampler -- BUGS won&#039;t scale to RNA-Seq size data sets!]]></description>
		<content:encoded><![CDATA[<p>For a quick look at Bayesian multiple comparisons, you can check out my baseball batting ability analysis:</p>
<p><a href="http://lingpipe-blog.com/2009/11/04/hierarchicalbayesian-batting-ability-with-multiple-comparisons/" rel="nofollow">http://lingpipe-blog.com/2009/11/04/hierarchicalbayesian-batting-ability-with-multiple-comparisons/</a></p>
<p>For more depth, check out Andrew, Jennifer and Masanao&#8217;s paper and presentation, linked from this blog post:</p>
<p><a href="http://www.stat.columbia.edu/~cook/movabletype/archives/2008/03/why_i_dont_usua_1.html" rel="nofollow">http://www.stat.columbia.edu/~cook/movabletype/archives/2008/03/why_i_dont_usua_1.html</a></p>
<p>I&#8217;ve been spending lots of time with RNA-Seq data lately, specifically differential gene or splice-variant of gene expression, as described here:</p>
<p><a href="http://lingpipe-blog.com/2010/02/05/inferring-splice-variant-mrna-expression-rna-seq/" rel="nofollow">http://lingpipe-blog.com/2010/02/05/inferring-splice-variant-mrna-expression-rna-seq/</a></p>
<p>Of course, I had to reimplment the sampler &#8212; BUGS won&#8217;t scale to RNA-Seq size data sets!</p>
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