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Bayesian probability
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#	Item
91	Auxiliary Gibbs Sampling for Inference in Piecewise-Constant Conditional Intensity Models Zhen Qin University of California, Riverside Add to Reading List Source URL: rlair.cs.ucr.edu Language: English - Date: 2015-05-14 15:51:40 Markov processes Graph theory Markov chain Gibbs sampling Probability distribution Bayesian network Resampling Sampling
92	UNIVERSITY OF CALIFORNIA RIVERSIDE Multivariate Continuous-Time Models: Approximate Inference Algorithms and Medical Informatics Applications Add to Reading List Source URL: rlair.cs.ucr.edu Language: English - Date: 2016-03-21 12:22:45 Stochastic processes Graphical models Markov processes Bayesian network Networks Uniformization Probability distribution Algorithm Statistical inference Approximate inference Statistics Matrix
93	Volume 43 • Issue 4 IMS Bulletin June/July 2014 Add to Reading List Source URL: bulletin.imstat.org Language: English - Date: 2014-05-15 13:56:09 Statistical inference Institute of Mathematical Statistics Bayesian inference Normal distribution Bayesian probability Dennis Lindley Confidence interval Chung Kai-lai
94	CrossMark_Color_Stacked_p Add to Reading List Source URL: www.mackelab.org Language: English - Date: 2016-08-04 15:02:45 Bayesian statistics Probability distributions Statistical inference Statistical theory Psychometrics Overdispersion Beta-binomial distribution Beta distribution Bayesian inference Generalized linear model Prior probability Psychometric function
95	Deformable Template As Active Basis Ying Nian Wu, Zhangzhang Si, Chuck Fleming, and Song-Chun Zhu UCLA Department of Statistics http://www.stat.ucla.edu/∼ywu/ActiveBasis.html Abstract Add to Reading List Source URL: www.stat.ucla.edu Language: English - Date: 2007-08-20 02:10:20 Statistical theory Probability distributions Signal processing Timefrequency analysis Wavelet Regression analysis KullbackLeibler divergence FO Maximum likelihood estimation Exponential distribution Closed and exact differential forms Bayesian multivariate linear regression
96	INDUCTIVE LOGIC INDUCTIVE LOGIC The idea of inductive logic as providing a general, quantitative way of evaluating arguments is a relatively modern one. Aristotle’s conception of ‘induction’ (epagog! Add to Reading List Source URL: dl.dropboxusercontent.com Language: English Reasoning Epistemology Statistical inference Probability and statistics Probability theory Inductive probability Probability interpretations Inductive reasoning Probability Rudolf Carnap Bayesian inference Philosophy of science
97	A Mini-conference on Bayesian Methods at Lund University 5th of February, 2016 Room C121, Lux building, Helgonavägen 3, Lund University. www.lucs.lu.se/bayes-at-lund-2016/ Program Add to Reading List Source URL: www.sumsar.net Language: English - Date: 2016-08-11 05:49:04 Statistical inference Statistical theory Bayesian inference Statistical forecasting Bayesian statistics Bayesian network Meta-analysis Bayesian Bayesian probability
98	WANTING ROBUSTNESS IN MACROECONOMICS LARS PETER HANSEN AND THOMAS J. SARGENT 1. Introduction 1.1. Foundations. von Neumann and Morgenstern (1944), Savage (1954), and Muthcreated mathematical foundations that appl Add to Reading List Source URL: www.tomsargent.com Language: English - Date: 2015-04-08 13:04:09 Decision theory Game theory Bayesian statistics New classical macroeconomics Ambiguity aversion Utility Ellsberg paradox Bayesian probability Prior probability Rational expectations Lars Peter Hansen Economic model
99	PAUL TELLER CONDITIONALIZATION AND OBSERVATION* Add to Reading List Source URL: dl.dropboxusercontent.com Language: English Belief Reasoning Critical thinking Epistemology Metatheory DempsterShafer theory Dutch book Argument Doxastic logic Bayesian probability Theory of justification
100	10742_2009_52_Article 1..17 Add to Reading List Source URL: www.glicko.net Language: English - Date: 2009-12-24 15:06:36 Psychometrics Statistical models Bayesian statistics Differential item functioning Educational research Psychological testing Item response theory Bayesian network Bayesian inference Prior probability Markov chain Monte Carlo Logistic regression

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