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Bayesian inference
Results: 1902

#	Item
721	Sparse stochastic inference for latent Dirichlet allocation David Mimno [removed] Princeton U., Dept. of Computer Science, 35 Olden St., Princeton, NJ 08540, USA Matthew D. Hoffman Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:22 Bayesian statistics Latent Dirichlet allocation Expectation–maximization algorithm Variational Bayesian methods Gibbs sampling Dirichlet distribution Topic model Markov chain Monte Carlo Markov chain Statistics Statistical natural language processing Markov models
722	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
723	PARAMETER ESTIMATION IN ULTRASONIC MEASUREMENTS ON TRABECULAR BONE Karen R. Marutyan, PhD∗ , Christian C. Anderson, MA† , Keith A. Wear PhD∗∗ , Mark R. Holland, PhD† , James G. Miller, PhD† and G. Larry Brett Add to Reading List Source URL: bayes.wustl.edu Language: English - Date: 2011-04-28 12:02:53 Statistical inference Bayesian probability Philosophy of mathematics Philosophy of science Bayesian inference Inverse probability Markov chain Probability Expectation–maximization algorithm Statistics Bayesian statistics Probability interpretations
724	in Maximum Entropy and Bayesian Methods, Wolfgang von der Linden, et. al. eds., Kluwer, 1999. \THE NEAR-IRRELEVANCE OF SAMPLING FREQUENCY DISTRIBUTIONS1 " Add to Reading List Source URL: bayes.wustl.edu Language: English - Date: 2010-12-21 17:21:39 Statistical theory Statistical inference Principle of maximum entropy Estimation theory Prior probability Entropy Normal distribution Bayesian probability Central limit theorem Statistics Probability and statistics Bayesian statistics
725	in Maximum-Entropy and Bayesian Methods in Science and Engineering, 1, pp[removed], G. J. Erickson and C. R. Smith Eds., Kluwer Academic Publishers, Dordrecht the Netherlands, 1988. Excerpts from Bayesian Spectrum Analysi Add to Reading List Source URL: bayes.wustl.edu Language: English - Date: 2010-12-21 17:21:39 Bayesian probability Principle of maximum entropy Maximum likelihood Bayesian inference Prior probability Estimation theory Likelihood function Normalizing constant Edwin Thompson Jaynes Statistics Bayesian statistics Probability and statistics
726	Stochastic Variational Inference for Hidden Markov Models arXiv:1411.1670v1 [stat.ML] 6 Nov[removed]Nicholas J. Foti† , Jason Xu† , Dillon Laird, and Emily B. Fox Add to Reading List Source URL: arxiv.org Language: English - Date: 2014-11-06 20:36:09 Markov models Expectation–maximization algorithm Missing data Statistical theory Hidden Markov model Variational Bayesian methods Markov chain Conjugate prior Kullback–Leibler divergence Statistics Bayesian statistics Estimation theory
727	Bayesian Nonparametric Poisson Factorization for Recommendation Systems Prem Gopalan Princeton University Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:21 Variational Bayesian methods Mixture model Poisson distribution Collaborative filtering Dirichlet process Bayesian inference Recommender system Gamma distribution Markov chain Statistics Bayesian statistics Expectation–maximization algorithm
728	Exponential Parameter Estimation (in NMR) Using Bayesian Probability Theory G. LARRY BRETTHORST,1 WILLIAM C. HUTTON,1 JOEL R. GARBOW,1,2 JOSEPH J.H. ACKERMAN1–3 Add to Reading List Source URL: bayes.wustl.edu Language: English - Date: 2010-12-21 17:21:39 Estimation theory Statistical inference Bayesian inference Bayesian probability Prior probability Nuisance parameter Maximum likelihood Markov chain Probability Statistics Bayesian statistics Statistical theory
729	8.6 Bayesian neural networks (BNN) [Book, Sect[removed]While cross-validation allows one to find the weight penalty parameters which would give the model good generalization capability, the separation of the data record in Add to Reading List Source URL: www.ocgy.ubc.ca Language: English - Date: 2013-11-09 02:48:24 Machine learning Computational science Econometrics Cross-validation Resampling Bootstrapping Bootstrap aggregating Numerical weather prediction Overfitting Statistics Statistical inference Computational statistics
730	Bayesian Analysis[removed], Number 2, pp. 235–272 The Discrete Infinite Logistic Normal Distribution Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:22 Statistical inference Statistical natural language processing Dirichlet process Latent Dirichlet allocation Dirichlet distribution Mixture model Gamma distribution Probability distribution Bayesian inference Statistics Bayesian statistics Stochastic processes

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