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Bayesian probability
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#	Item
51	The Method of Simulated Quantiles Yves Dominicy∗ and David Veredas † First draft: DecemberThis version: May 2010 Add to Reading List Source URL: www.istfin.eco.usi.ch Language: English - Date: 2010-10-18 11:21:40 Statistics Mathematical analysis Statistical theory Probability distributions Estimation theory Summary statistics Quantile Bayesian statistics Normal distribution Stable distribution Central limit theorem Characteristic function
52	Chapter 5 Statistical inference Probability and statistics can be considered one as the inverse problem of the other. In the previous chapters we studied what is the theory of probability. Given a probability density fu Add to Reading List Source URL: ihp-lx.ethz.ch Language: English - Date: 2015-03-31 05:26:54 Statistics Statistical inference Statistical theory Psychometrics Philosophy of science Probability distributions Frequentist inference Statistical hypothesis testing Normal distribution Bayesian statistics Bayesian inference Fiducial inference
53	Online Learning of Nonparametric Mixture Models via Sequential Variational Approximation Dahua Lin Toyota Technological Institute at Chicago Add to Reading List Source URL: dahua.me Language: English - Date: 2013-10-22 19:40:40 Statistics Statistical theory Probability Bayesian statistics Stochastic processes Probability distributions Estimation theory Statistical natural language processing Dirichlet process Mixture model Variational Bayesian methods Dirichlet distribution
54	Technical Note Series Spring 2013 Note 1: Varitional Methods for Latent Dirichlet Allocation Version 1.0 Add to Reading List Source URL: playbigdata.com Language: English - Date: 2014-07-16 22:13:04 Statistics Statistical theory Estimation theory Expectationmaximization algorithm Missing data Probability distributions Variational Bayesian methods Constructible universe Symbol Table of stars with Bayer designations
55	A Rothschild-Stiglitz approach to Bayesian persuasion Matthew Gentzkow and Emir Kamenica∗ Stanford University and University of Chicago JanuaryConsider a situation where one person, call him Sender, generates in Add to Reading List Source URL: faculty.chicagobooth.edu Language: English - Date: 2016-01-14 19:35:40 Convex analysis Convex function Probability distribution
56	Learning Latent Groups with Hinge-loss Markov Random Fields Stephen H. Bach Bert Huang Lise Getoor University of Maryland, College Park, Maryland 20742, USA Add to Reading List Source URL: stephenbach.net Language: English - Date: 2013-06-14 15:37:03 Statistics Probability theory Graphical models Machine learning Statistical models Statistical theory Bayesian statistics Markov random field Latent variable Expectationmaximization algorithm Marginal likelihood Conditional random field
57	Lina Eriksson ´jek Alan Ha Abstract. Add to Reading List Source URL: dl.dropboxusercontent.com Language: English Gambling Wagering Gaming Entertainment Dutch book Mathematics of bookmaking Roulette Bayesian probability Probability interpretations Betting in poker Value Frequentist probability
58	Approximate Bayesian Computation for Granular and Molecular Dynamics Simulations Lina Kulakova Computational Science and Engineering Laboratory ETH Zürich Add to Reading List Source URL: www.cse-lab.ethz.ch Language: English - Date: 2016-06-15 20:10:57 Statistics Statistical theory Bayesian statistics Estimation theory Probability distributions Statistical models Uncertainty quantification Bayesian network Bayesian inference Sufficient statistic Likelihood function Normal distribution
59	Big DataConference Program Monday, August 22 9:00-9:50am Yiling Chen, Harvard University Title: “Machine Learning with Strategic Data Sources” Add to Reading List Source URL: cmsa.fas.harvard.edu Language: English - Date: 2016-08-03 13:09:29 Statistics Statistical theory Bayesian statistics Bayesian inference Prior probability Robust Bayesian analysis Artificial neural network Deep learning Variational Bayesian methods Machine learning Naive Bayes classifier Bayesian network
60	RMM Vol. 2, 2011, 103–114 Special Topic: Statistical Science and Philosophy of Science Edited by Deborah G. Mayo, Aris Spanos and Kent W. Staley http://www.rmm-journal.de/ Sir David Cox and Deborah Mayo Add to Reading List Source URL: www.rmm-journal.com Language: English - Date: 2011-10-18 07:00:37 Statistics Statistical theory Logic Statistical inference Philosophy of science Hypothesis testing Probability interpretations Foundations of statistics Bayesian probability Frequentist probability Frequentist inference Prior probability

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