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Posterior probability
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31	When are probabilistic programs probably computationally tractable? Cameron E. Freer Univ. of Hawai‘i at M¯anoa Add to Reading List Source URL: web.mit.edu Language: English - Date: 2011-01-31 01:40:47 Monte Carlo methods Computational statistics Statistical models Markov chain Monte Carlo Bayesian inference Gibbs sampling Normal distribution Posterior probability Kullback–Leibler divergence Statistics Bayesian statistics Statistical theory
32	Math Geosci DOIs11004y History Matching Through a Smooth Formulation of Multiple-Point Statistics Yulia Melnikova · Andrea Zunino · Add to Reading List Source URL: www.nbi.dk Language: English - Date: 2015-05-05 07:36:22 Estimation theory Statistical theory Maximum a posteriori estimation Histogram Prior probability Inverse problem Maximum likelihood Probability distribution Posterior probability Statistics Probability and statistics Bayesian statistics
33	A Brief Introduction to Bayesian Statistics Floyd Bullard The North Carolina School of Science and Mathematics NCTM 2001 Add to Reading List Source URL: courses.ncssm.edu Language: English - Date: 2002-12-20 12:21:51 Credible interval Bayesian inference Posterior probability Prior probability Probability interpretations Frequency probability P-value Confidence interval Probability Statistics Bayesian statistics Statistical inference
34	C:/BoschDokZeit/ExLaufwerkR/Dissertation/Publikationen/61_UEAL_UAI/DEAL_UAI/DEAL_UAI.dvi Add to Reading List Source URL: www.wisdom.weizmann.ac.il Language: English - Date: 2012-06-27 09:01:54 Bayesian statistics Probability theory Non-parametric statistics Variance Naive Bayes classifier Pattern recognition Perceptron Posterior probability Expected value Statistics Statistical classification Machine learning
35	Too Many Boys in the Family? What is the probability of a baby being born a boy? Add to Reading List Source URL: new.censusatschool.org.nz Language: English - Date: 2012-09-17 21:56:56 Boy or Girl paradox Posterior probability Boy Childhood Bayesian statistics
36	Ch.5 Classification and Clustering Classification [Book, scattered] With discrete response variables, do classification instead of regression. (b) 1 Add to Reading List Source URL: www.ocgy.ubc.ca Language: English - Date: 2013-09-30 19:02:28 Statistical classification Bayesian statistics Regression analysis Linear classifier Posterior probability Linear regression Marginal distribution K-nearest neighbor algorithm Expected value Statistics Econometrics Machine learning
37	doi:[removed]j.cognition[removed] Add to Reading List Source URL: mentalmodels.princeton.edu Language: English - Date: 2012-06-14 22:39:02 Gaming Posterior probability Prior probability Casino token Probability Probabilistic logic Bayesian statistics Gambling Entertainment
38	in Infrared Systems and Components III, pp[removed], Robert L. Caswell ed., SPIE Vol. 1050, 1989 Bayesian Analysis of Signals from Closely-Spaced Objects G. Larry Bretthorst Add to Reading List Source URL: bayes.wustl.edu Language: English - Date: 2010-12-21 17:21:39 Gaussian function Estimation theory Bayesian probability Posterior probability Prior probability Bayesian inference Principle of maximum entropy Maximum likelihood Probability Statistics Bayesian statistics Probability and statistics
39	Ch.6 Feed-forward neural network models 6.6 Multi-layer perceptron classifier [Book, Sect[removed]The multi-layer perceptron (MLP) NN model can easily be modified for classification problems. If only 2 classes C1 and C2 , Add to Reading List Source URL: www.ocgy.ubc.ca Language: English - Date: 2013-10-24 18:43:08 Mathematics Perceptron Activation function Multilayer perceptron Softmax activation function Radial basis function Neuron Logistic function Posterior probability Neural networks Cybernetics Science
40	Supplement to “How robust are probabilistic models of higher-level cognition?” Gary Marcus, Dept. of Psychology, New York University Ernest Davis, Dept. of Computer Science, New York University This supplement explai Add to Reading List Source URL: www.cs.nyu.edu Language: English - Date: 2013-10-03 10:55:23 Bayesian statistics Probability Posterior probability