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Bayesian inference
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#	Item
371	The Future of Indirect Evidence Bradley Efron Stanford University What is Statistics? • The theory of learning from experience Add to Reading List Source URL: statweb.stanford.edu Language: English - Date: 2009-09-15 13:00:41 Empirical Bayes method Bayes estimator Prior probability Bradley Efron Model selection Statistics Bayesian statistics Bayesian inference
372	cc24j, CHAPTER 24 MODEL COMPARISON \Entities are not to be multiplied without necessity" - - - William of Ockham, ca 1330 We have seen in some detail how to conduct inferences { test hypotheses, estimate paramete Add to Reading List Source URL: www-biba.inrialpes.fr Language: English - Date: 2004-03-11 14:49:07 Estimation theory Statistical inference Model selection Maximum likelihood Likelihood function Bayesian inference Principle of maximum entropy Likelihood principle Prior probability Statistics Bayesian statistics Statistical theory
373 $Regression analysis / Integral calculus / Multiple integral / Multivariable calculus / Fraunhofer diffraction / Mathematical analysis / Fourier analysis / Bayesian inference$	Estimators of Binary Spatial Autoregressive Models: A Monte Carlo Study online appendix Raffaella Calabrese Essex Business School University of Essex Add to Reading List Source URL: www.joselkink.net Language: English - Date: 2014-01-17 06:06:37 Regression analysis Integral calculus Multiple integral Multivariable calculus Fraunhofer diffraction Mathematical analysis Fourier analysis Bayesian inference
374	Statistical inference on graphs G´erard Biau, Kevin Bleakley Received: April 22, 2006; Accepted: September 6, 2006 Summary: The problem of graph inference, or graph reconstruction, is to predict the presence or absence Add to Reading List Source URL: cbio.ensmp.fr Language: English - Date: 2009-10-15 15:27:50 Graph Bayesian network Connectivity Probabilistic method Graph theory Mathematics Networks
375	ENVIRONMETRICS Environmetrics 2003; 14: 355–371 (DOI: env.590) Bayesian uncertainty assessment in multicompartment deterministic simulation models for environmental risk assessment Samantha C. Bates1,,y , Alis Add to Reading List Source URL: www.stat.washington.edu Language: English* - Date: 2003-10-16 20:07:55 Exposure assessment Prior probability Deterministic simulation Bayesian inference Bayesian statistics Statistics Probability and statistics
376	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
377	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
378	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
379	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
380	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.inference.phy.cam.ac.uk Language: English - Date: 2005-05-21 12:28:41 Estimation theory Maximum likelihood Normal distribution Gaussian function Likelihood function Likelihood-ratio test Poisson distribution Sufficient statistic Mixture model Statistics Statistical theory Bayesian statistics

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