<?xml version="1.0" encoding="UTF-8"?>
<rdf:RDF xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" xmlns="http://purl.org/rss/1.0/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"><channel rdf:about="https://www.bibsonomy.org/user/pitman/stat"><title>BibSonomy bookmarks for /user/pitman/stat</title><link>https://www.bibsonomy.org/user/pitman/stat</link><description>BibSonomy RSS Feed for /user/pitman/stat</description><items><rdf:Seq><rdf:li rdf:resource="http://cnx.org/content/col10572/latest/"/><rdf:li rdf:resource="http://rup.rice.edu/goodbook.html"/><rdf:li rdf:resource="http://www.wsls.com/sls/news/local/new_river_valley/article/virginia_tech_professor_wwii_code-breaker_irving_good_dies/32642/"/><rdf:li rdf:resource="http://biostats.bepress.com/repository/"/><rdf:li rdf:resource="http://www.stat.cmu.edu/GSS/seidenfeld.html"/><rdf:li rdf:resource="http://www.de.ufpe.br/~cribari/bartlett.html"/><rdf:li rdf:resource="http://www.stat.unipd.it/LIKASY/people.html"/></rdf:Seq></items></channel><item rdf:about="http://cnx.org/content/col10572/latest/"><title>Introductory Material to The Good Book: Thirty Years of Comments, Conjectures and Conclusions</title><description></description><link>http://cnx.org/content/col10572/latest/</link><dc:creator>pitman</dc:creator><dc:date>2009-04-14T07:05:53+02:00</dc:date><dc:subject>math selected book stat works </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2009-04-14T07:05:53+02:00&#034; href=&#034;http://cnx.org/content/col10572/latest/&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;http://cnx.org/content/col10572/latest/&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/math"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/selected"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/book"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/stat"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/works"/></rdf:Bag></taxo:topics></item><item rdf:about="http://rup.rice.edu/goodbook.html"><title>The Good Book: 30 Years of Comments, Conjectures, and Conclusions — Rice University Press</title><description>selected articles of I J Good</description><link>http://rup.rice.edu/goodbook.html</link><dc:creator>pitman</dc:creator><dc:date>2009-04-14T06:50:58+02:00</dc:date><dc:subject>math selected reprints stat works </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;selected articles of I J Good&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/math"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/selected"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/reprints"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/stat"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/works"/></rdf:Bag></taxo:topics></item><item rdf:about="http://www.wsls.com/sls/news/local/new_river_valley/article/virginia_tech_professor_wwii_code-breaker_irving_good_dies/32642/"><title>Virginia Tech professor, WWII code-breaker Irving Good dies | WSLS 10</title><description>Virginia Tech’s Irving John (Jack) Good, one of the founders of modern Bayesian inference and a member of the World War II code-breaking team at Bletchley Park, died of natural causes on April 5 in Radford</description><link>http://www.wsls.com/sls/news/local/new_river_valley/article/virginia_tech_professor_wwii_code-breaker_irving_good_dies/32642/</link><dc:creator>pitman</dc:creator><dc:date>2009-04-14T06:45:11+02:00</dc:date><dc:subject>math 2008 person news death prob stat </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;Virginia Tech’s Irving John (Jack) Good, one of the founders of modern Bayesian inference and a member of the World War II code-breaking team at Bletchley Park, died of natural causes on April 5 in Radford&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/math"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/2008"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/person"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/news"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/death"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/prob"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/stat"/></rdf:Bag></taxo:topics></item><item rdf:about="http://biostats.bepress.com/repository/"><title>Collection of Biostatistics Research Archive</title><description></description><link>http://biostats.bepress.com/repository/</link><dc:creator>pitman</dc:creator><dc:date>2008-12-02T19:58:23+01:00</dc:date><dc:subject>archive bio repository research stat </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2008-12-02T19:58:23+01:00&#034; href=&#034;http://biostats.bepress.com/repository/&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;http://biostats.bepress.com/repository/&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/archive"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/bio"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/repository"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/research"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/stat"/></rdf:Bag></taxo:topics></item><item rdf:about="http://www.stat.cmu.edu/GSS/seidenfeld.html"><title>Teddy Seidenfeld</title><description>Teddy Seidenfeld, H.A. Simon Professor of Philosophy and Statistics, Departments of Philosophy and Statistics, Carnegie Mellon University

Ph.D. Columbia University, 1976

Teddy Seidenfeld works at the interface between philosophy and statistics, often being concerned with problems that involve multiple decision makers. For example, in collaboration with M.J. Schervish and J.B. Kadane (Statistics, CMU), they have relaxed the norms of Bayesian theory to permit a unified standard, both for individuals acting as separate decision makers and collectively, in forming a cooperative group agent. By contrast, this is an impossibility for strict Bayesian theory. For a second example, in collaboration with Larry Wasserman (Statistics, CMU), they have examined the short-run consequences of using Bayes rule for updating a set of expert Bayesian opinions with shared information. They focus on anomalous cases (they call dilation), where an experiment is certain to result in new evidence that increases the experts: uncertainty about an event of common interest where uncertainty is reflected in the extent of probabilistic disagreements among the experts. His current collaboration with Kadane and Schervish incudes a theory for indexing the degree of incoherence in non-Bayesian statistical decisions.

</description><link>http://www.stat.cmu.edu/GSS/seidenfeld.html</link><dc:creator>pitman</dc:creator><dc:date>2008-08-08T19:38:30+02:00</dc:date><dc:subject>homepage person stat </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;Teddy Seidenfeld, H.A. Simon Professor of Philosophy and Statistics, Departments of Philosophy and Statistics, Carnegie Mellon University

Ph.D. Columbia University, 1976

Teddy Seidenfeld works at the interface between philosophy and statistics, often being concerned with problems that involve multiple decision makers. For example, in collaboration with M.J. Schervish and J.B. Kadane (Statistics, CMU), they have relaxed the norms of Bayesian theory to permit a unified standard, both for individuals acting as separate decision makers and collectively, in forming a cooperative group agent. By contrast, this is an impossibility for strict Bayesian theory. For a second example, in collaboration with Larry Wasserman (Statistics, CMU), they have examined the short-run consequences of using Bayes rule for updating a set of expert Bayesian opinions with shared information. They focus on anomalous cases (they call dilation), where an experiment is certain to result in new evidence that increases the experts: uncertainty about an event of common interest where uncertainty is reflected in the extent of probabilistic disagreements among the experts. His current collaboration with Kadane and Schervish incudes a theory for indexing the degree of incoherence in non-Bayesian statistical decisions.

&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/homepage"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/person"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/stat"/></rdf:Bag></taxo:topics></item><item rdf:about="http://www.de.ufpe.br/~cribari/bartlett.html"><title>Bartlett Correction</title><description>This is a WWW home page for Bartlett corrections and their extensions. Such corrections were originally proposed by M.S. Bartlett in 1937 in an eventually influential paper entitled &#034;Properties of sufficiency and statistical tests&#034; published in the Proceedings of the Royal Society of London Series A. A general framework for Bartlett corrections was proposed by D.N. Lawley in a 1956 Biometrika paper.</description><link>http://www.de.ufpe.br/~cribari/bartlett.html</link><dc:creator>pitman</dc:creator><dc:date>2008-04-18T22:28:20+02:00</dc:date><dc:subject>econ stat subjectpage </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;This is a WWW home page for Bartlett corrections and their extensions. Such corrections were originally proposed by M.S. Bartlett in 1937 in an eventually influential paper entitled &amp;#034;Properties of sufficiency and statistical tests&amp;#034; published in the Proceedings of the Royal Society of London Series A. A general framework for Bartlett corrections was proposed by D.N. Lawley in a 1956 Biometrika paper.&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/econ"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/stat"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/subjectpage"/></rdf:Bag></taxo:topics></item><item rdf:about="http://www.stat.unipd.it/LIKASY/people.html"><title>Likelihood and Asymptotics</title><description>Likelihood and Asymptotics

  Home
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  Disclaimers</description><link>http://www.stat.unipd.it/LIKASY/people.html</link><dc:creator>pitman</dc:creator><dc:date>2008-04-18T19:45:26+02:00</dc:date><dc:subject>asymptotics community likelihood list math people site stat subject </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;Likelihood and Asymptotics

  Home
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  Disclaimers&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/asymptotics"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/community"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/likelihood"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/list"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/math"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/people"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/site"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/stat"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/subject"/></rdf:Bag></taxo:topics></item></rdf:RDF>