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Bayesian statistics
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#	Item
521	Group-Based criminal trajectory analysis using cross-validation criteria J.D. Nielsen1 , J.S. Rosenthal2 , Y. Sun3 , D.M. Day4 , I. Bevc5 , and T. Duchesne6 (Last revised July 30, 2012.) Add to Reading List Source URL: probability.ca Language: English - Date: 2012-07-30 21:29:52 Statistical models Cluster analysis Categorical data Latent class model Bayesian information criterion Akaike information criterion Cross-validation Mixture model Statistics Model selection Machine learning
522	latent gold 4.0 manual final for pdf.qxp Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2005-05-09 15:04:20 Estimation theory Akaike information criterion Psychometrics Expectation–maximization algorithm Bootstrapping Structural equation modeling Bayesian information criterion Statistics Statistical inference Model selection
523	Nat. Hazards Earth Syst. Sci., 14, 1491–1503, 2014 www.nat-hazards-earth-syst-sci.netdoi:nhess © Author(sCC Attribution 3.0 License. Forecasting wind-driven wildfires using Add to Reading List Source URL: www.nat-hazards-earth-syst-sci.net Language: English - Date: 2014-12-04 02:50:52 Prediction Science Weather prediction Bayesian statistics Data assimilation Estimation theory Forecasting Weather forecasting Kalman filter Statistics Statistical forecasting Control theory
524	Data Intensive Research: The Complexity Dimension in Data Analysis Chris Williams School of Informatics, University of Edinburgh March 2010 Add to Reading List Source URL: www.nesc.ac.uk Language: English - Date: 2010-03-19 04:53:21 Networks Graphical models Bayesian network Gene regulatory network Bayesian statistics Statistics Statistical models
525	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
526	A Hierarchical Bayes based approach to ensemble-variational data assimilation M Tsyrulnikov and A Rakitko Motivation Add to Reading List Source URL: srnwp.met.hu Language: English - Date: 2014-10-27 11:08:29 Data analysis Monte Carlo methods Covariance and correlation Ensemble Kalman filter Covariance matrix Covariance Data assimilation Normal distribution Importance sampling Statistics Estimation theory Bayesian statistics
527	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
528	DETECTING REGIME CHANGES IN MARKOV MODELS Jes´us E. Garc´ıa1a and V. A. Gonz´alez-L´opez1b 1 a Add to Reading List Source URL: www.me.inf.kyushu-u.ac.jp Language: English - Date: 2013-10-14 22:34:25 Markov models Markov chain Bayesian information criterion Statistics Stochastic processes Markov processes
529	Deep Generative Stochastic Networks Trainable by Backprop Yoshua Bengio∗ FIND . US @ ON . THE . WEB ´ Eric Add to Reading List Source URL: yosinski.com Language: English - Date: 2014-09-17 14:43:15 Markov chain Monte Carlo Markov models Markov processes Bayesian statistics Markov chain Gibbs sampling Boltzmann machine Generative model Graphical model Statistics Statistical models Probability and statistics
530	Bayesian Data Analysis, class 9a Andrew Gelman Chapter 11: Basics of Markov chain simulation Andrew Gelman Add to Reading List Source URL: www.stat.columbia.edu Language: English - Date: 2014-11-11 12:48:31 Statistics Andrew Gelman Bayesian statistics

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