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	<title>Comments on: Bayesian Detente</title>
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		<title>By: Walt</title>
		<link>http://www.arsmathematica.net/2006/04/28/bayesian-detente/#comment-574</link>
		<dc:creator><![CDATA[Walt]]></dc:creator>
		<pubDate>Sun, 07 May 2006 04:00:03 +0000</pubDate>
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		<description><![CDATA[One explanation that occurred to me was &quot;it&#039;s all Fisher&#039;s fault&quot;, since Fisher was fairly notorious for his attacks on both his fellow frequentists and Bayesians, since once an argument gets heated, it rarely cools down.  But if the conflict between frequentists and Bayesians is symmetric, frequentists are better at keeping it out of their papers.]]></description>
		<content:encoded><![CDATA[<p>One explanation that occurred to me was &#8220;it&#8217;s all Fisher&#8217;s fault&#8221;, since Fisher was fairly notorious for his attacks on both his fellow frequentists and Bayesians, since once an argument gets heated, it rarely cools down.  But if the conflict between frequentists and Bayesians is symmetric, frequentists are better at keeping it out of their papers.</p>
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		<title>By: PeterMcB</title>
		<link>http://www.arsmathematica.net/2006/04/28/bayesian-detente/#comment-561</link>
		<dc:creator><![CDATA[PeterMcB]]></dc:creator>
		<pubDate>Sat, 29 Apr 2006 10:07:04 +0000</pubDate>
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		<description><![CDATA[As someone who trained in math statistics, I can tell you the debates between frequentists and bayesians have at times been very hostile.  I think the personal abuse in statistics can be traced to Ronald Fisher (who was a sort of frequentist), who was notorious for the personal nastiness of his comments on the work of others, although he was usually arguing with fellow frequentists.   As recently as 2000, I have seen famous frequentists and bayesians clash at a conference, with the session chair having to intervene to stop more personal abuse being hurled. (Sample:  &quot;I have studied this subject for over 20 years, and I still cannot make coherent sense of your position.&quot;  Reply:  &quot;It is not our fault if you are slow to understand basic concepts.&quot;)

In general, I would say that most statisticians were and are pragmatic, interested in whatever works, rather than in pursuing an ideological agenda.   In such a community, it becomes relatively easy for a group of ideologically-driven people, such as the early bayesians (eg, James Savage, Dennis Lindley), to impose their will on the community. 

There is a nice PhD thesis by &lt;a href=&quot;http://www.stat.lanl.gov/people/homepgs/gdwilsonvita1.htm&quot; rel=&quot;nofollow&quot;&gt;Greg Wilson&lt;/a&gt;, of Los Alamos National Laboratory, looking at how the bayesians rose to prominence in math statistics. (Unfortunately, I don&#039;t know of a copy online). 

  author =       &quot;Gregory D. Wilson&quot;,
  title =        &quot;Articulation Theory and Disciplinary Change:  Unpacking the Bayesian-Frequentist Paradigm Conflict in Statistical Science&quot;,
  school =       &quot;Rhetoric and Professional Communication, New Mexico State University&quot;,
  year =         &quot;2001&quot;,
  type =         &quot;PhD&quot;,
  address =      &quot;Las Cruces, NM, USA&quot;}]]></description>
		<content:encoded><![CDATA[<p>As someone who trained in math statistics, I can tell you the debates between frequentists and bayesians have at times been very hostile.  I think the personal abuse in statistics can be traced to Ronald Fisher (who was a sort of frequentist), who was notorious for the personal nastiness of his comments on the work of others, although he was usually arguing with fellow frequentists.   As recently as 2000, I have seen famous frequentists and bayesians clash at a conference, with the session chair having to intervene to stop more personal abuse being hurled. (Sample:  &#8220;I have studied this subject for over 20 years, and I still cannot make coherent sense of your position.&#8221;  Reply:  &#8220;It is not our fault if you are slow to understand basic concepts.&#8221;)</p>
<p>In general, I would say that most statisticians were and are pragmatic, interested in whatever works, rather than in pursuing an ideological agenda.   In such a community, it becomes relatively easy for a group of ideologically-driven people, such as the early bayesians (eg, James Savage, Dennis Lindley), to impose their will on the community. </p>
<p>There is a nice PhD thesis by <a href="http://www.stat.lanl.gov/people/homepgs/gdwilsonvita1.htm" rel="nofollow">Greg Wilson</a>, of Los Alamos National Laboratory, looking at how the bayesians rose to prominence in math statistics. (Unfortunately, I don&#8217;t know of a copy online). </p>
<p>  author =       &#8220;Gregory D. Wilson&#8221;,<br />
  title =        &#8220;Articulation Theory and Disciplinary Change:  Unpacking the Bayesian-Frequentist Paradigm Conflict in Statistical Science&#8221;,<br />
  school =       &#8220;Rhetoric and Professional Communication, New Mexico State University&#8221;,<br />
  year =         &#8220;2001&#8221;,<br />
  type =         &#8220;PhD&#8221;,<br />
  address =      &#8220;Las Cruces, NM, USA&#8221;}</p>
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