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Bayesian probability
Results: 1640

#	Item
951	Graphical Models and What They Reveal about GP Erik Hemberg (NCRA, UCD CASL), Kalyan Veeramachaneni (EvoDesignOpt), Una-May O’Reilly (EvoDesignOpt)! Add to Reading List Source URL: groups.csail.mit.edu Language: English - Date: 2012-07-12 23:50:18 Graphical models Networks Operations research Bayesian network Probability and statistics Mathematical optimization Bayesian statistics Statistical models Statistics
952	UNCORRECTED DRAFT The Error Statistical Philosophy and The Practice of Bayesian Statistics Comments on Gelman and Shalizi Deborah G. Mayo Add to Reading List Source URL: www.phil.vt.edu Language: English - Date: 2012-06-20 00:15:30 Bayesian statistics Philosophy of science Statistical theory Bayesian probability Likelihood principle Frequentist inference P-value Bayesian inference Confidence interval Statistics Statistical inference Hypothesis testing
953	Bayesian hazard mixture models BAYSM14, Vienna J. Arbel, A. Lijoi, B. Nipoti [removed] Collegio Carlo Alberto, Moncalieri, Italy Add to Reading List Source URL: dl.dropboxusercontent.com Language: English Dirichlet process Mixture model Bayesian statistics Statistics Probability and statistics Stochastic processes
954	General “Not Only Defended But Also Applied”: The Perceived Absurdity of Bayesian Inference Downloaded by [Columbia University], [Andrew Gelman] at 18:25 20 February 2013 Add to Reading List Source URL: www.stat.columbia.edu Language: English - Date: 2013-02-20 21:29:24 Statistical theory Philosophy of science Probability interpretations Bayesian probability Frequentist inference Bayesian inference Prior probability Inference Bayesian linear regression Statistics Bayesian statistics Statistical inference
955	8 British Journal of Mathematical and Statistical Psychology (2013), 66, 8–38 © 2012 The British Psychological Society www.wileyonlinelibrary.com Add to Reading List Source URL: www.stat.columbia.edu Language: English - Date: 2014-04-09 03:01:33 Philosophy of science Statistical theory Bayesian inference Bayes factor Bayesian probability Frequentist inference Interval estimation Prior probability Bayesian linear regression Statistics Bayesian statistics Statistical inference
956	Structure Learning of Markov Logic Networks through Iterated Local Search Marenglen Biba and Stefano Ferilli and Floriana Esposito1 Abstract. Many real-world applications of AI require both probability and first-order lo Add to Reading List Source URL: www.di.uniba.it Language: English - Date: 2008-10-06 05:35:01 Logic Automated theorem proving Theoretical computer science Mathematical logic Statistical models Markov logic network Algorithm Logic programming Resolution Bayesian statistics Statistics Mathematics
957	Structure Learning of Markov Logic Networks through Iterated Local Search Marenglen Biba and Stefano Ferilli and Floriana Esposito1 Abstract. Many real-world applications of AI require both probability and first-order lo Add to Reading List Source URL: www.di.uniba.it Language: English - Date: 2008-10-06 05:35:01 Logic Automated theorem proving Theoretical computer science Mathematical logic Statistical models Markov logic network Algorithm Logic programming Resolution Bayesian statistics Statistics Mathematics
958	DEBORAH AN O B J E C T I V E G. M A Y O Add to Reading List Source URL: www.phil.vt.edu Language: English - Date: 2011-05-10 23:59:01 Knowledge Statistical hypothesis testing Bayesian probability Null hypothesis Statistical inference Statistical significance Scientific method Type I and type II errors Test statistic Statistics Hypothesis testing Science
959	The order of things: Inferring causal structure from temporal patterns Neil R. Bramley1 ([removed]), Tobias Gerstenberg2 ([removed]), David A. Lagnado1 ([removed]) 1 Department of Cognitive Add to Reading List Source URL: www.ucl.ac.uk Language: English - Date: 2014-06-16 14:59:28 Causality Bayesian statistics Epistemology Conditionals Determinism Causal model Framing Bayesian inference Bayesian probability Philosophy of science Statistics Science
960	The Assumption of Class-Conditional Independence in Category Learning Jana Jarecki ([removed])∗ Bj¨orn Meder ([removed])∗ Jonathan D. Nelson ([removed])∗ ∗ Center Add to Reading List Source URL: mindmodeling.org Language: English - Date: 2013-07-15 14:54:32 Causality Machine learning Probability Likelihood function Random naive Bayes One-shot learning Bayesian statistics Statistics Naive Bayes classifier

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