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Bayesian linear regression
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121	Parameterization and Bayesian Modeling Andrew G ELMAN Progress in statistical computation often leads to advances in statistical modeling. For example, it is surprisingly common that an existing model is reparameterized, Add to Reading List Source URL: www.stat.columbia.edu Language: English - Date: 2005-08-15 15:32:42 Statistical models Estimation theory Statistical theory Linear regression Bayesian linear regression Mixture model Expectation–maximization algorithm Gibbs sampling Generalized linear model Statistics Regression analysis Bayesian statistics
122	Application of latent class models to food product development: a case study Richard Popper1, Jeff Kroll1 and Jay Magidson2 1 Peryam & Kroll Research Corporation, 6323 N. Avondale Ave., Chicago, IL 60631, Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2006-09-05 12:54:10 Statistical methods Categorical data Estimation theory Linear regression Latent class model Bayesian information criterion Economic model Statistics Regression analysis Econometrics
123	Trading Costs and Returns for U.S. Equities: Estimating Effective Costs from Daily Data Add to Reading List Source URL: people.stern.nyu.edu Language: English - Date: 2010-07-04 10:53:39 Econometrics Estimation theory Regression analysis Gibbs sampling Point estimation Linear regression Bayesian inference Bayesian linear regression Liquidity risk Statistics Statistical inference Bayesian statistics
124	A Causal Model Theory of Judgment Abigail B. Sussman and Daniel Oppenheimer {asussman, doppenhe}@princeton.edu Department of Psychology Princeton University Princeton, NJ[removed]USA Add to Reading List Source URL: mindmodeling.org Language: English - Date: 2012-07-27 09:35:41 Econometrics Statistical models Heuristic Problem solving Causality Linear regression Psychology Daniel Goldstein Bayesian network Statistics Science Philosophy of science
125	stenger_prl06a_review1.dvi Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2011-02-16 13:07:47 Econometrics Ensemble learning Relevance vector machine Multivariate statistics Bayesian linear regression Gaussian function Function Estimation theory Projection Statistics Regression analysis Bayesian statistics
126	Session 2A: Basics Session 2A: Basics John Geweke Bayesian Econometrics and its Applicatoins Add to Reading List Source URL: www.szgerzensee.ch Language: English - Date: 2013-01-11 10:03:57 Probability theory Estimation theory Parametric statistics Linear regression Ordinal number Multivariate normal distribution Multivariate random variable Statistics Econometrics Regression analysis
127	Introduction to Bayesian Statistics J. Hess Traditional Approach: p(D\|q) = probability of getting data D if true parameter is q. Select a value for the parameter q* that maximizes likelihood of getting this data: Add to Reading List Source URL: bauer.uh.edu Language: English - Date: 2008-12-02 17:37:51 Conjugate prior Bayes estimator Prior probability Normal distribution Gamma distribution Variance Empirical Bayes method Bayesian linear regression Statistics Bayesian statistics Probability and statistics
128	Session 4A: Model comparison and prediction John Geweke Bayesian Econometrics and its Applications August 16, 2012 Add to Reading List Source URL: www.szgerzensee.ch Language: English - Date: 2013-01-11 10:04:38 Probability theory Regression analysis Model selection Bayes factor Bayesian inference Marginal likelihood Linear regression Bayesian econometrics Probability space Statistics Bayesian statistics Econometrics
129	UNIVERSITY OF OXFORD DEPARTMENT OF STATISTICS MSc AND DIPLOMA IN APPLIED STATISTICS Add to Reading List Source URL: www.stats.ox.ac.uk Language: English - Date: 2015-02-04 04:24:23 Model selection Regression analysis Statistical methods Statistical inference Linear regression Akaike information criterion Machine learning Bayesian inference Bayes factor Statistics Statistical theory Econometrics
130	Fully Automatic Variational Inference of Differentiable Probability Models Rajesh Ranganath Department of Computer Science Princeton University Add to Reading List Source URL: andrewgelman.com Language: English - Date: 2014-12-21 20:40:21 Econometrics Estimation theory Variational Bayesian methods Bayesian linear regression Multivariate normal distribution Linear regression Mathematical optimization Expectation–maximization algorithm Variational message passing Statistics Bayesian statistics Regression analysis

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