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A collection of often humorous songs with bayes-related lyrics sang to popular tunes on the last nights of the Valencia meetings on Bayesian statistics. Lyrics in LaTeX and postscript formats. Wav files of some songs available.
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Brad Carlin's Music Page  This was just a fun way to learn how to use a 4-track recorder Biostat Division Blues Lyrics and Music Lance Waller (guitar Brad Carlin (piano, bass, drum machine, lead and backing vocals This is a parody of Jim Croce's...
http://www.biostat.umn.edu/~brad/music.html

An archive of abstracts of research papers on Bayesian statistics. Sponsored by ISBA and SBSS.
http://www.isds.duke.edu/isba-sbss/

The institute has a strong focus on Bayesian statistics.
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Institute of Statistics and Decision Sciences  Items more news news archive] Halloween Party Annual ISDS Halloween Costume Party [more info]Merlise Clyde Elected Fellow of the American Statistical Association Professor Clyde was elected as Fellow of the ASA [more info] Upcoming Events more events archive] Paul Biemer...
http://www.stat.duke.edu/

An annotated index for information on Bayesian inference for the physical sciences.
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BIPS: Bayesian Inference for the Physical Sciences  I will jointly host a winter school in astrostatistics 18-25 January 2006, including 3 days devoted to Bayesian methods. See the CASt School page for info. Welcome to BIPS: Bayesian Inference for the Physical Sciences, an annotated online index/clearinghouse for...
http://astrosun.tn.cornell.edu/staff/loredo/bayes/

Information regarding model averaging using Bayesian techniques. Software and papers available.
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Bayesian Model Averaging Home Page  Averaging is a technique designed to help account for the uncertainty inherent in the model selection process, something which traditional statistical analysis often neglects. By averaging over many different competing models, BMA incorporates model uncertainty into conclusions about parameters and...
http://www.research.att.com/~volinsky/bma.html

A monumental online book by the late E. T. Jaynes on Bayesian inference. Also has a number of related articles by other authors.
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Probability Theory As Extended Logic  Jaynes was one of the first people to realize that probability theory, as originated by Laplace, is a generalization of Aristotelian logic that reduces to deductive logic in the special case that our hypotheses are either true or false. This...
http://bayes.wustl.edu/

Part of the University of St. Andrews History of Mathematics archive.
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Bayes  Click the picture above to see a larger version Show birthplace location Previous (Chronologically) Next BiographiesIndex Previous (Alphabetically) Next Mainindex Version for printing Thomas Bayes father, Joshua Bayes, was one of the first six Nonconformist ministers to be ordained in...
http://www-groups.dcs.st-and.ac....istory/Mathematicians/Bayes.html

Promotes the development and use of logical methods for the improvement of decision-making.
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Decision Analysis Society Home Page  Society promotes the development and use of logical methods for the improvement of decision-making in public and private enterprise. Such methods include models for decision-making under conditions of uncertainty or multiple objectives; techniques of risk analysis and risk assessment; experimental...
http://faculty.fuqua.duke.edu/daweb/

Explains the benefits and method of integrating the sample distribution of a parameter space.
http://rai.astro.uiuc.edu/adass98/Proceedings/loredotj/

A website and mailing list on non-subjective priors (e.g. non-informative, conventional and reference priors).
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 Methodology recently held at Purdue University (November 1-3, 1996 this Web page and an electronic mailing list has been created for those interested in non-subjective prior specification (noninformative priors, conventional priors, reference priors Mailing list: nsbayes@lists.missouri.edu. More information. People List....
http://www.stat.missouri.edu/~bayes/

Part of the ArXiv e-print repository.
http://arxiv.org/archive/bayes-an/

Includes rules, examples, and information about adaptive testing and sequential decisions. Main ideas are presented using a binary classification (pass/fail) test and a sample three-item test.
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A Measurement Decision Theory Tutorial  It is most applicable in measurement when the goal is to classify examinees into one of two categories, e.g. pass/fail or master/non-master. From pilot testing, one estimates The proportion of master and non masters in the population, and The conditional...
http://edres.org/mdt/

An online paper on solving the cocktail party with Bayesian statistics. Includes general introduction to the problem and links to related works.
http://www.biophysics.mcw.edu/BRI-people/Rowe/BSSintro.html