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Bayesian probability
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#	Item
1	From Bayesian Notation to Pure Racket via Discrete Measure-Theoretic Probability in λZFC Neil Toronto and Jay McCarthy PLT @ Brigham Young University, Provo, Utah, USA and Add to Reading List Source URL: jeapostrophe.github.io - Date: 2018-04-03 12:30:31
2	RMM Vol. 2, 2011, 79–102 Special Topic: Statistical Science and Philosophy of Science Edited by Deborah G. Mayo, Aris Spanos and Kent W. Staley http://www.rmm-journal.de/ Deborah G. Mayo Add to Reading List Source URL: www.rmm-journal.com Language: English - Date: 2011-10-07 03:32:19 Statistics Knowledge Statistical theory Probability interpretations Philosophy of science Psychometrics Bayesian probability Justification Philosophy of mathematics Frequentist inference Bayesian Statistical hypothesis testing
3	University of Vienna Vienna Graduate School of Economics Empirical Macroeconomics: Models and Methods Spring Semester 2013 Thomas A. Lubik Add to Reading List Source URL: www.vgse.at Language: English - Date: 2013-03-07 10:47:28 Economics Statistics Statistical theory Dynamic stochastic general equilibrium Econometrics Bayesian statistics Bayesian vector autoregression Macroeconomic model Bayesian inference Bayesian Prior probability Vector autoregression
4	RMM Vol. 2, 2011, 48–66 Special Topic: Statistical Science and Philosophy of Science Edited by Deborah G. Mayo, Aris Spanos and Kent W. Staley http://www.rmm-journal.de/ Stephen Senn Add to Reading List Source URL: www.rmm-journal.com Language: English - Date: 2011-09-26 02:42:15 Statistics Statistical theory Statistical inference Knowledge Philosophy of science Psychometrics Probability interpretations Bayesian Inverse probability Likelihood function Ronald Fisher Foundations of statistics
5	Learning stick-figure models using nonparametric Bayesian priors over trees Edward W. Meeds, David A. Ross, Richard S. Zemel, and Sam T. Roweis Department of Computer Science University of Toronto {ewm, dross, zemel, row Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2008-08-08 22:07:31 Statistics Probability Statistical theory Probability distributions Statistical models Bayesian statistics Stochastic processes Graphical models Bayesian network Gibbs sampling Dirichlet process Mixture model
6	Clever Bookies and Coherent Beliefs David Christensen The Philosophical Review, Vol. 100, No. 2. (Apr., 1991), ppStable URL: http://links.jstor.org/sici?sici=%%29100%3A2%3C229%3ACBACB%3E2.0.CO Add to Reading List Source URL: dl.dropboxusercontent.com Language: English Philosophy Epistemology Probability Wagering Probability interpretations Bayesian probability Philosophy of mathematics Philosophy of science Dutch book Coherence Rationality Henry E. Kyburg Jr.
7	Mean Field Variational Approximations in Continuous-Time Markov Processes A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science Add to Reading List Source URL: www.cs.huji.ac.il Language: English - Date: 2015-08-10 08:23:20 Bayesian statistics Statistics Graphical models Probability Markov models Bayesian network Probability distribution Markov chain Expectation propagation Approximate inference Likelihood function Hidden Markov model
8	Collective Activity Detection using Hinge-loss Markov Random Fields Ben London, Sameh Khamis, Stephen H. Bach, Bert Huang, Lise Getoor, Larry Davis University of Maryland College Park, MD 20742 {blondon,sameh,bach,bert,g Add to Reading List Source URL: psl.umiacs.umd.edu Language: English - Date: 2013-06-14 19:26:52 Artificial intelligence Probability Statistics Bayesian statistics Markov networks Graphical models Markov random field Probability theory Image segmentation Probabilistic soft logic Activity recognition Support vector machine
9	Scalable Training of Mixture Models via Coresets Dan Feldman MIT Matthew Faulkner Add to Reading List Source URL: eew.caltech.edu Language: English - Date: 2012-05-15 11:47:37 Statistics Probability Maximum likelihood estimation Probability distributions Bayesian statistics Expectationmaximization algorithm Mixture model Normal distribution K-means clustering Likelihood function Data stream clustering Gamma distribution
10	Rounding Guarantees for Message-Passing MAP Inference with Logical Dependencies Stephen H. Bach Computer Science Dept. University of Maryland Add to Reading List Source URL: stephenbach.net Language: English - Date: 2014-12-17 17:02:10 Graphical models Mathematical analysis Mathematics Probability Mathematical optimization Operations research Linear programming Probability theory Markov random field Linear programming relaxation Relaxation Bayesian network