Bayesian inference
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In statistics, Bayesian inference is a method of inference in which Bayes' rule is used to update the probability estimate for a hypothesis as additional evidence is learned. Bayesian updating is an important technique throughout statistics, and especially in mathematical statistics: Exhibiting a Bayesian derivation for a statistical method automatically ensures that the method works as well as any competing method, for some cases. Bayesian updating is especially important in the dynamic analysis of a sequence of data. Bayesian inference has found application in a range of fields including science, engineering, medicine, and law.
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| Bayesian Statistics Bayesian Statistics www.scholarpedia.org/article/Bayesian_statistics - Web |
| Introduction to Bayesian probability Introduction to Bayesian probability www.dcs.qmw.ac.uk/%7Enorman/BBNs/BBNs.htm - Web |
| Mathematical notes on Bayesian statistics and Mark... Mathematical notes on Bayesian statistics and Markov chain Monte Carlo webuser.bus.umich.edu/plenk/downloads.htm - Web |
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| Bayesian reading list Bayesian reading list cocosci.berkeley.edu/tom/bayes.html - Web |
| Stanford Encyclopedia of Philosophy: "Inductive Lo... Stanford Encyclopedia of Philosophy: "Inductive Logic" plato.stanford.edu/entries/logic-inductive/ - Web |
| Bayesian Confirmation Theory Bayesian Confirmation Theory faculty-staff.ou.edu/.../Hawthorne--Bayesian_Confirmation_Theory.pdf - Web |
| What is Bayesian Learning? What is Bayesian Learning? www.faqs.org/faqs/ai-faq/neural-nets/part3/section-7.html - Web |
