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Statistical inference
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#	Item
681	A reinforcement learning approach to variational inference in probabilistic programs David Wingate MIT February 21, 2012 Abstract Add to Reading List Source URL: econ.as.nyu.edu Language: English - Date: 2012-02-13 13:12:15 Probability and statistics Bayesian networks Graphical models Statistical theory Statistics Bayesian statistics Reinforcement learning
682	C:/research/SSO11/SSO11/gis11.dvi Add to Reading List Source URL: www.cise.ufl.edu Language: English - Date: 2011-10-24 10:43:08 Measurement Statistical inference Cognition Uncertainty Confidence interval Determinism Spacetime Database management system Kilogram Statistics Physics Science
683	Modelling Optimal Instrumental Variables for Dynamic Panel Data Models Manuel Arellano∗ CEMFI, Madrid Abstract Add to Reading List Source URL: www.cemfi.es Language: English - Date: 2012-04-13 04:43:56 Statistical theory Regression analysis Statistical inference Estimator Instrumental variable Generalized method of moments M-estimator Maximum likelihood Vector autoregression Statistics Estimation theory Econometrics
684	Title mi estimate using — Estimation using previously saved estimation results Syntax Compute MI estimates of coefficients using previously saved estimation results Add to Reading List Source URL: www.stata-press.com Language: English - Date: 2013-05-09 12:01:54 Missing data Estimation Normal distribution Imputation Statistics Data analysis Statistical inference
685	Copyright Cambridge University PressOn-screen viewing permitted. Printing not permitted. http://www.cambridge.orgYou can buy this book for 30 pounds or $50. See http://www.inference.phy.cam.ac.uk/macka Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2004-09-18 13:29:32 Monte Carlo methods Markov chain Monte Carlo Statistical mechanics Bayesian inference Statistical inference Normal distribution Metropolis–Hastings algorithm Marginal likelihood Variational Bayesian methods Statistics Probability and statistics Bayesian statistics
686	GENERAL MULTILELEVEL MODELING WITH SAMPLING WEIGHTS Tihomir Asparouhov Muthen & Muthen Los Angeles, California, USA Add to Reading List Source URL: www.statmodel.com Language: English - Date: 2008-08-13 12:42:34 Regression analysis Machine learning Statistical inference Sampling Linear regression Cluster sampling Mixture model Sample size determination Estimator Statistics Estimation theory Statistical models
687	This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike License. Your use of this material constitutes acceptance of that license and the conditions of use of materials on this site. Copyright Add to Reading List Source URL: ocw.jhsph.edu Language: English - Date: 2010-02-25 10:59:01 Data analysis Measurement Biostatistics Confidence interval Standard deviation Normal distribution Statistical power Mode Tolerance interval Statistics Statistical inference Summary statistics
688	THE REDUCED FORM: A SIMPLE APPROACH TO INFERENCE WITH WEAK INSTRUMENTS VICTOR CHERNOZHUKOV AND CHRISTIAN HANSEN† Abstract. In this paper, we consider simple and practical methods for performing heteroskedasticity and a Add to Reading List Source URL: faculty.chicagobooth.edu Language: English - Date: 2006-03-07 15:17:08 Regression analysis Parametric statistics Statistical inference Instrumental variable Linear regression Simultaneous equations model T-statistic Heteroscedasticity Autocorrelation Statistics Econometrics Estimation theory
689	Behav Res DOIs13428Estimating the distribution of sensorimotor synchronization data: A Bayesian hierarchical modeling approach Rasmus Bååth 1 Add to Reading List Source URL: www.sumsar.net Language: English - Date: 2015-06-17 18:55:43 Statistical theory Bayesian statistics Parametric statistics Point estimation Hierarchical Bayes model Maximum a posteriori estimation T-statistic Parameter Maximum likelihood Statistics Statistical inference Estimation theory
690	A New Approach to Probabilistic Programming Inference Frank Wood Department of Engineering University of Oxford Add to Reading List Source URL: www.robots.ox.ac.uk Language: English - Date: 2015-06-02 07:22:01 Statistical theory Bayesian statistics Statistical inference Hidden Markov model Importance sampling Normal distribution Mixture model Bayesian inference Joint probability distribution Statistics Probability and statistics Monte Carlo methods

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