Editing Bayesian inference (section)

==External links==
* {{springer|title=Bayesian approach to statistical problems|id=p/b015390}}
* [http://www.scholarpedia.org/article/Bayesian_statistics Bayesian Statistics] from Scholarpedia.
* [http://www.dcs.qmw.ac.uk/%7Enorman/BBNs/BBNs.htm Introduction to Bayesian probability] from Queen Mary University of London
* [http://webuser.bus.umich.edu/plenk/downloads.htm Mathematical Notes on Bayesian Statistics and Markov Chain Monte Carlo]
* [http://cocosci.berkeley.edu/tom/bayes.html Bayesian reading list] {{Webarchive|url=https://web.archive.org/web/20110625052506/http://cocosci.berkeley.edu/tom/bayes.html |date=2011-06-25 }}, categorized and annotated by [https://web.archive.org/web/20060711151352/http://psychology.berkeley.edu/faculty/profiles/tgriffiths.html Tom Griffiths]
* A. Hajek and S. Hartmann: [https://web.archive.org/web/20110728055439/http://stephanhartmann.org/HajekHartmann_BayesEpist.pdf Bayesian Epistemology], in: J. Dancy et al. (eds.), A Companion to Epistemology. Oxford: Blackwell 2010, 93–106.
* S. Hartmann and J. Sprenger: [https://web.archive.org/web/20110728055519/http://stephanhartmann.org/HartmannSprenger_BayesEpis.pdf Bayesian Epistemology], in: S. Bernecker and D. Pritchard (eds.), Routledge Companion to Epistemology. London: Routledge 2010, 609–620.
* [http://plato.stanford.edu/entries/logic-inductive/ ''Stanford Encyclopedia of Philosophy'': "Inductive Logic"]
*[https://web.archive.org/web/20150905093734/http://faculty-staff.ou.edu/H/James.A.Hawthorne-1/Hawthorne--Bayesian_Confirmation_Theory.pdf Bayesian Confirmation Theory] (PDF)
* [http://www.faqs.org/faqs/ai-faq/neural-nets/part3/section-7.html What is Bayesian Learning?]
* [https://causascientia.org/math_stat/DataUnkInf.html ''Data, Uncertainty and Inference''] — Informal introduction with many examples, ebook (PDF) freely available at [https://causascientia.org causaScientia]

{{Statistics|inference}}

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[[Category:Bayesian inference| ]]
[[Category:Logic and statistics]]
[[Category:Statistical forecasting]]
[[Category:Probabilistic arguments]]