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Conjugate prior
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#	Item
91	arXiv:physics[removed]v1 9 Jan[removed]ENTROPIC PRIORS FOR DISCRETE PROBABILISTIC NETWORKS AND FOR MIXTURES OF GAUSSIANS MODELS C. C. RODRIGUEZ Add to Reading List Source URL: omega.albany.edu Language: English - Date: 2005-09-22 15:53:28 Fisher information Conjugate prior Dimensional analysis Mixture model Statistics Estimation theory Maximum likelihood
92	Geometric and Topological Invariants of the Hypothesis Space Carlos C. Rodríguez Department of Mathematics and Statistics The University at Albany, SUNY. http://omega.albany.edu:8008/ Add to Reading List Source URL: omega.albany.edu Language: English - Date: 2010-09-01 16:13:58 Estimation theory Bayes estimator Conjugate prior Maximum likelihood Fisher information Loss function Empirical Bayes method Confidence interval Likelihood principle Statistics Bayesian statistics Statistical theory
93	Carlos Rodr´ıguez MAT565 Applied Statistics: Lecture Notes November 12, 2012 Add to Reading List Source URL: omega.albany.edu Language: English - Date: 2012-11-12 11:17:20 Normal distribution Conjugate prior Multivariate normal distribution Fisher information Spinor Statistics Probability and statistics Estimation theory
94	20th International Congress on Modelling and Simulation, Adelaide, Australia, 1–6 December 2013 www.mssanz.org.au/modsim2013 Bayesian hierarchical modelling of rainfall extremes E.A. Lehmann a, A. Phatak a, S. Soltyk b Add to Reading List Source URL: www.mssanz.org.au Language: English - Date: 2013-11-19 22:13:40 Symbol Generalized extreme value distribution Conjugate prior Normal distribution Regression analysis Linear regression Maximum likelihood Parameter Statistics Econometrics Estimation theory
95	Collaborative Filtering and the Missing at Random Assumption Benjamin M. Marlin Richard S. Zemel Yahoo! Research and Department of Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2009-06-29 08:36:44 Cluster analysis Collaborative filtering Social information processing Mixture model Expectation–maximization algorithm Recommender system Conjugate prior Statistical model Maximum likelihood Statistics Estimation theory Statistical theory
96	Statistics 582, Problem Set 4 Wellner; [removed]Reading: Lehmann, TPE, Chapter 5, sections 5.1 and 5.2. Course Notes, Chapter 5, sections 4-7. Due: Wednesday, February 4, 2015. Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2015-01-28 11:07:46 Maximum likelihood Minimax estimator Gamma distribution Conjugate prior Estimator Mean squared error Efficient estimator Loss function Statistics Estimation theory Bayes estimator
97	Machine Learning, 20, [removed]) © 1995 Kluwer Academic Publishers, Boston. Manufactured in The Netherlands. Learning Bayesian Networks: The Combination of Knowledge and Statistical Data DAVID HECKERMAN Add to Reading List Source URL: www.cs.technion.ac.il Language: English - Date: 2011-11-09 03:51:34 Bayesian inference Dirichlet distribution Conjugate prior Bayesian linear regression Statistics Bayesian statistics Bayesian network
98	STAT 538 Lecture 3 Exponential Family Models c Marina Meil˘a [removed] Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2015-01-13 23:03:57 Maximum likelihood Parametric model Conjugate prior Exponential family Sufficient statistic Likelihood function Entailment Fisher information Completeness Statistics Statistical theory Estimation theory
99	Journal of Machine Learning Research[removed]3176 Submitted 1/12; Revised 5/12; Published[removed]Bayesian Mixed-Effects Inference on Classification Performance in Hierarchical Data Sets Add to Reading List Source URL: www.ong-home.my Language: English - Date: 2013-12-12 02:50:01 Bayesian inference Beta-binomial distribution Markov chain Prior probability Empirical Bayes method Bayes factor Hierarchical Bayes model Statistics Bayesian statistics Conjugate prior
100	Journal of Machine Learning Research[removed]3015 Submitted 8/10; Revised 9/10; Published[removed]Gaussian Processes for Machine Learning (GPML) Toolbox Carl Edward Rasmussen∗ Add to Reading List Source URL: www.jmlr.org Language: English - Date: 2010-11-19 19:10:52 Gaussian process Likelihood function Variational Bayesian methods Marginal likelihood Kriging Covariance Regression analysis Conjugate prior Maximum likelihood Statistics Bayesian statistics Estimation theory

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