Directory of Bayesian Analysis Resources

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Bayesian inference is statistical inference in which evidence or observations are used to update or to newly infer the probability that a hypothesis may be true. The name "Bayesian" comes from the frequent use of Bayes' theorem in the inference process. Bayes' theorem was derived from the work of the Reverend Thomas Bayes.

Subcategories

• Conferences
• Software

Resources in This Category

• Bayesian Analysis Archive

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

• Bayesian Belief Networks

  http://www.eecs.qmul.ac.uk/~norman/BBNs/BBNs.htm
  Online tutorial with an introduction to probability theory and to Bayesian belief networks.

• Bayesian Inference for the Physical Sciences

  http://www.astro.cornell.edu/staff/loredo/bayes/
  An annotated index for information on Bayesian inference for the physical sciences.

• Bayesian Methods for Hackers

  http://camdavidsonpilon.github.io/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/
  Probabilistic programming with a computation/understanding-first, mathematics-second point of view. Open source.

• Bayesian Programming

  http://bayesian-programming.org/
  Promotes the thesis that probability is an alternative to logic, allowing rational decisions to be made with incomplete and uncertain knowledge.

• Biography of Reverend Thomas Bayes (1702-1761)

  http://www-groups.dcs.st-and.ac.uk/~history/Mathematicians/Bayes.html
  Part of the University of St. Andrews History of Mathematics archive.

• Decision Analysis Society

  http://faculty.fuqua.duke.edu/daweb/
  Promotes the development and use of logical methods for the improvement of decision-making.

• Duke University Institute of Statistics and Decision Sciences

  http://www.stat.duke.edu/
  The institute has a strong focus on Bayesian statistics.

• International Society for Bayesian Analysis

  http://www.bayesian.org/
  Promotes the development and application of Bayesian statistical theory and methods useful in the solution of theoretical and applied problems in science, industry and government.

• Making Sense of Probability: Fallacies, Myths and Puzzles

  http://www.agenarisk.com/resources/probability_puzzles/Making_sense_of_probability.html
  Norman Fenton provides many examples of probability problems that people normally get wrong or do not understand.

• Measurement Decision Theory

  http://edres.org/mdt/
  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.

• Non-subjective Bayesian Statistical Methodology

  http://www.stat.missouri.edu/~bayes/
  A website and mailing list on non-subjective priors (e.g. non-informative, conventional and reference priors).

• Probability Theory As Extended Logic

  http://bayes.wustl.edu/
  A monumental online book by the late E. T. Jaynes on Bayesian inference. Also has a number of related articles by other authors.

• Scholarpedia: Bayesian Statistics

  http://www.scholarpedia.org/article/Bayesian_statistics
  Encyclopedia article on this system for describing epistemological uncertainty using the mathematical language of probability.

• The Bayesian Songbook

  http://www.biostat.umn.edu/~brad/music.html
  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.

• Wikipedia: Bayesian Inference

  http://en.wikipedia.org/wiki/Bayesian_analysis
  Encyclopedia article on the statistical inference in which evidence or observations are used to update or to newly infer the probability that a hypothesis may be true.

Related Categories

• Home > Computers > Artificial Intelligence > Belief Networks
• Home > Computers > Artificial Intelligence > Neural Networks
• Home > Science > Math > Operations Research

 

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