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Bayesian probability
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#	Item
881	Seeing the Unobservable – Inferring the Probability and Impact of Hidden Causes York Hagmayer ([removed]) Department of Psychology, University of Göttingen, Gosslerstr[removed]Göttingen, G Add to Reading List Source URL: www.psych.uni-goettingen.de Language: English - Date: 2012-02-19 14:06:46 Causality Ethology Statistical models Conditionals Evaluation methods Determinism Statistics Psychology Bayesian network Science Philosophy of science Information
882	RMM Vol. 3, 2012, 71–107 Special Topic: Statistical Science and Philosophy of Science Edited by Deborah G. Mayo, Aris Spanos and Kent W. Staley http://www.rmm-journal.de/ Deborah Mayo Add to Reading List Source URL: www.rmm-journal.de Language: English - Date: 2012-12-17 08:57:10 Philosophy of science Hypothesis testing Bayesian statistics Frequentist inference Frequency probability Statistical hypothesis testing Philosophy of statistics Loss function Bayesian inference Statistics Statistical inference Statistical theory
883	Hagmayer, Y., & Meder, B[removed]Causal Learning Through Repeated Decision Making. In B. C. Love, K. McRae, & V. M. Sloutsky (Eds.) Proceedings of the Thirtieth Annual Conference of the Cognitive Science Society (pp. 17 Add to Reading List Source URL: 141.14.165.6 Language: English - Date: 2010-03-26 10:50:10 Science Statistical models Randomness Probability and statistics Graphical models Causal model Determinism Bayesian network Rubin causal model Causality Philosophy of science Statistics
884	Imaginary Foundations∗ Wolfgang Schwarz Draft, [removed]Abstract. Our senses provide us with information about the world, but what exactly do they tell us? I argue that in order to optimally respond Add to Reading List Source URL: www.umsu.de Language: English Bayesian statistics Probability theory Statistical theory Philosophy of science Bayesian probability Probability Coherence Inference Epistemology Statistics Logic Science
885	RMM Vol. 2, 2011, 79–102 Special Topic: Statistical Science and Philosophy of Science Edited by Deborah G. Mayo, Aris Spanos and Kent W. Staley http://www.rmm-journal.de/ Deborah G. Mayo Add to Reading List Source URL: www.rmm-journal.de Language: English - Date: 2011-10-07 03:32:19 Philosophy of science Design of experiments Statistical theory Philosophy of mathematics Bayesian probability Frequentist inference Statistical hypothesis testing Inductive reasoning Philosophy of statistics Statistics Science Statistical inference
886	EuJAP \| Vol. 8 \| No. 2 \| [removed]Bayes, T. 1 Hume, D[removed] Add to Reading List Source URL: www.ffri.hr Language: English - Date: 2014-07-09 05:48:26 Probability theory Statistical theory Logical fallacies Bayesian inference Probability Of Miracles David Hume Bayesian probability Conditional probability Statistics Bayesian statistics Statistical inference
887	RMM Vol. 3, 2012, 19–21 Special Topic: Statistical Science and Philosophy of Science Edited by Deborah G. Mayo, Aris Spanos and Kent W. Staley http://www.rmm-journal.de/ Stephen Senn Add to Reading List Source URL: www.rmm-journal.de Language: English - Date: 2012-03-09 12:45:56 Statistical theory Philosophy of science Psychometrics Bayesian probability Frequentist inference Bayesian inference Nuisance parameter Statistical hypothesis testing Prior probability Statistics Statistical inference Bayesian statistics
888	A Uni…ed Characterization of Belief-Revision Rules Franz Dietrich, Christian List, and Richard Bradley1 October 2010, revised November[removed]Abstract Add to Reading List Source URL: personal.lse.ac.uk Language: English - Date: 2014-11-20 10:07:19 Probability Conditional probability Bayesian probability Prior probability Event Posterior probability Independence Graphical model Probability theory Bayesian statistics Statistics
889	Confirmation Alan Hájek and James M. Joyce I. INTRODUCTION, MOTIVATION, CENTRAL CONCEPTS I.1. Introduction Confirmation theory is intended to codify the evidential bearing of observations on Add to Reading List Source URL: www-personal.umich.edu Language: English - Date: 2010-09-07 21:59:44 Knowledge Scientific method Paradoxes Raven paradox Statistical inference Bayesian statistics Hypothetico-deductive model Probability Hypothesis Statistics Science Philosophy of science
890	To Appear in Proceedings of the ICML-2004 Workshop on Statistical Relational Learning and its Connections to Other Fields (SRL-2004), Banff, Canada, July 2004 Relational Markov Networks for Collective Information Extract Add to Reading List Source URL: www.cs.utexas.edu Language: English - Date: 2004-05-08 02:43:11 Networks Bayesian statistics Statistical models Probability theory Bayesian network Belief propagation Information extraction Markov random field Clique Graph theory Mathematics Graphical models

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