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Bayesian statistics
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181	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
182	Can the Computer Learn to Play Music Expressively? Christopher Raphael Department of Mathematics and Statistics, University of Massachusetts at Amherst, Amherst, MA, Add to Reading List Source URL: music.informatics.indiana.edu Language: English - Date: 2000-11-10 09:32:54 Graphical models Statistical models Bayesian network Networks Normal distribution Hidden Markov model
183	Deviations from Core Prices and Income Inequality in the Arab World Rolando Gonzales Martinez (Bayesian Institute for Research on Development) Andrea Rojas-Hosse (Bayesian Institute for Research on Development) Add to Reading List Source URL: iariw.org Language: English - Date: 2015-11-12 17:25:10 Income distribution Economic inequality Welfare economics Distribution of wealth Summary statistics Gini coefficient Quantile regression Kuznets curve Inflation Economic growth Regression analysis Loss function
184	UNIVERSITY OF CALIFORNIA RIVERSIDE Continuous Time Bayesian Network Approximate Inference and Social Network Applications Add to Reading List Source URL: rlair.cs.ucr.edu Language: English - Date: 2011-01-19 19:25:15 Monte Carlo methods Stochastic simulation Computational statistics Markov models Markov chain Monte Carlo Bayesian network Gibbs sampling Particle filter Approximate inference Expectationmaximization algorithm Statistics Importance sampling
185	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
186	Learning stable, regularised latent models of neural population dynamics Lars Buesing, Jakob H. Macke and Maneesh Sahani Gatsby Computational Neuroscience Unit University College London, UK 17 Queen Square, London, WC1N Add to Reading List Source URL: www.mackelab.org Language: English - Date: 2016-08-04 15:02:44 Estimation theory Regression analysis Statistical models Bayesian statistics Econometrics Maximum likelihood estimation Expectationmaximization algorithm Variational Bayesian methods Linear regression Autoregressive model Variance function Mixture model
187	CELEBRATING 30 YEARS doimksc © 2011 INFORMS Vol. 30, No. 1, January–February 2011, pp. 22–24 issn ! eissn 1526-548X ! 11 ! 3001 ! 0022 Add to Reading List Source URL: www-stat.wharton.upenn.edu Language: English - Date: 2016-07-26 14:30:17 Independence Probability distributions Actuarial science Multivariate statistics Stable distributions Copula Correlation and dependence Normal distribution Multivariate normal distribution Joint probability distribution Bayesian inference Marginal likelihood
188	Bayesian Inverse Problems and Uncertainty Quantification Math 789R, Spring 2016 Instructor: Professor Lars Ruthotto Add to Reading List Source URL: www.mathcs.emory.edu Language: English - Date: 2015-12-09 10:11:55 Probability interpretations Frequentist probability Homework Statistics
189	Microsoft Word - Bayesian Flyer Add to Reading List Source URL: www.scot-ship.ac.uk Language: English - Date: 2014-04-01 08:12:47 Statistical inference Monte Carlo software WinBUGS Bayesian network Bayesian inference using Gibbs sampling Bayesian statistics Bayesian inference Bayesian
190	CORANI ET AL.: ROBUST TEXTURE RECOGNITION USING IMPRECISE CLASSIFIERS 1 Robust Texture Recognition Using Credal Classifiers Add to Reading List Source URL: bmvc10.dcs.aber.ac.uk Language: English Statistical classification Machine learning Bayesian statistics Naive Bayes classifier Pattern recognition Supervised learning Credal set Imprecise probability Classifier Bayesian classifier Bayesian inference Bayes classifier

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