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Bayesian probability
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291	Philosophy of Statistics Munich Center for Mathematical Philosophy Ludwig-Maximilians-Universität München Summer SemesterInstructor: Add to Reading List Source URL: gregorywheeler.org Language: English - Date: 2015-04-14 02:05:48 Philosophy of science Probability and statistics Probability interpretations Bayesian statistics Statistical theory Bayesian probability Foundations of statistics Frequentist inference Bayesian inference Statistics Statistical inference Science
292	The British Society for the Philosophy of Science Review: Likelihood Author(s): Ian Hacking Reviewed work(s): Likelihood. An Account of the Statistical Concept of Likelihood and Its Application to Add to Reading List Source URL: www.phil.vt.edu Language: English - Date: 2011-03-10 19:44:10 Likelihood function George Alfred Barnard Probability Statistical theory Ian Hacking Likelihood principle Statistics Estimation theory Bayesian statistics
293	Foundations of Monitoring Dynamic Systems Spencer Graves, Søren Bisgaard, Murat Kulachi, John Van Gilder, Tom Ting, Ken Marko John James, Hal Zatorski, and Cuiping Wu Bayesian Sequential Updating: Step 1. Observation: U Add to Reading List Source URL: www.prodsyse.com Language: English - Date: 2007-09-13 19:36:22 Control theory Kalman filter Robot control Control chart CUSUM Prior probability Statistics Bayesian statistics Linear filters
294	EWMA for Mean and Variance A Bayesian EWMA for Mean and Variance by Spencer Graves, Søren Bisgaard, and Murat Kulachi Add to Reading List Source URL: www.prodsyse.com Language: English - Date: 2007-09-13 19:35:36 Probability theory Measurement Normal distribution Variance Confidence interval Normal-gamma distribution Gamma distribution Standard deviation Statistics Data analysis Statistical inference
295	Volume 39 • Issue 7 IMS Bulletin 1935–2010 August/September 2010 Add to Reading List Source URL: bulletin.imstat.org Language: English - Date: 2011-06-25 07:33:05 Philosophy of science Philosophy of mathematics Bradley Efron Conference Board of the Mathematical Sciences Statistical inference Mathematics Bayesian probability Science Statistics Information
296	Deep Generative Stochastic Networks Trainable by Backprop Yoshua Bengio∗ FIND . US @ ON . THE . WEB ´ Eric Add to Reading List Source URL: jmlr.org Language: English - Date: 2015-02-01 17:03:25 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
297	Species abundance distributions, statistical mechanics and the priors of MaxEnt Add to Reading List Source URL: www.nimbios.org Language: English - Date: 2015-04-08 04:16:11 Bayesian statistics Statistical theory Exponentials Biodiversity Philosophy of thermal and statistical physics Principle of maximum entropy Relative species abundance Ecology Normal distribution Statistics Probability and statistics Probability
298	178 Journal of Statistical Planning and Inference189 The main point of disagreement is with the answer to question 5, about the role of the axioms of personalistic probability. I do not at all agree that Add to Reading List Source URL: www.phil.vt.edu Language: English - Date: 2011-03-10 19:42:16 Bayesian probability Prior probability Bayesian inference Frequentist inference Robust Bayes analysis Hyperprior Statistics Bayesian statistics Probability and statistics
299	Unsupervised Scene Analysis Using Semiparametric Bayesian Models Dominik Joho, Gian Diego Tipaldi, Nikolas Engelhard, Cyrill Stachniss, and Wolfram Burgard Department of Computer Science, University of Freiburg, Germany Add to Reading List Source URL: sc2012.informatik.uni-freiburg.de Language: English - Date: 2012-07-05 15:29:58 Dirichlet process Generative model Supervised learning Unsupervised learning Non-parametric statistics Statistics Machine learning Probability and statistics
300	PDF Document Add to Reading List Source URL: www.comp.nus.edu.sg Language: English - Date: 2006-03-20 19:18:22 Graphical models Statistical models Bayesian statistics Conditional random field Theoretical computer science Information extraction Expectation–maximization algorithm Bayesian network Pattern recognition Statistics Machine learning Probability and statistics

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