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Variational Bayesian methods
Results: 181

#	Item
71	Forecasting Multi-Appliance Usage for Smart Home Energy Management Ngoc Cuong Truong, James McInerney, Long Tran-Thanh, Enrico Costanza and Sarvapali D. Ramchurn University of Southampton, UK. {nct1g10, jem1c10, ltt08r, Add to Reading List Source URL: eprints.soton.ac.uk Language: English - Date: 2013-04-23 11:55:32 Smart grid Variational Bayesian methods Forecasting Mixture model Statistics Time series analysis Dirichlet process
72	NeuroImage–361 Contents lists available at SciVerse ScienceDirect NeuroImage journal homepage: www.elsevier.com/locate/ynimg Add to Reading List Source URL: people.inf.ethz.ch Language: English - Date: 2015-01-04 06:16:02 Normal distribution Exponentials Multivariate normal distribution Variational Bayesian methods Markov chain Exponential family Sample size determination Statistical inference Statistics Probability and statistics Bayesian statistics
73	HYPERPARAMETERS: OPTIMIZE, OR INTEGRATE OUT? David J.C. MacKay Cavendish Laboratory, Cambridge, CB3 0HE. United Kingdom. Add to Reading List Source URL: bayes.wustl.edu Language: English - Date: 2010-12-21 17:21:30 Estimation theory Statistical inference Normal distribution Mixture model Hyperparameter Maximum likelihood Variational Bayesian methods Least squares support vector machine Statistics Bayesian statistics Statistical theory
74	Markov Chain Monte Carlo (and Bayesian Mixture Models) David M. Blei Columbia University October 14, 2014 Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:19 Statistical models Monte Carlo methods Markov models Expectation–maximization algorithm Mixture model Gibbs sampling Conjugate prior Markov chain Monte Carlo Variational Bayesian methods Statistics Bayesian statistics Estimation theory
75	J. R. Statist. Soc. B, Part 2, pp. 319–392 Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations Add to Reading List Source URL: www.math.ntnu.no Language: English - Date: 2011-12-21 15:18:36 Estimation theory Markov models Probability theory Variational Bayesian methods Mixture model Normal distribution Marginal likelihood Deviance information criterion Gaussian process Statistics Probability and statistics Bayesian statistics
76	J. R. Statist. Soc. B, Part 2, pp. 319–392 Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations Add to Reading List Source URL: www.math.ntnu.no Language: English - Date: 2011-12-21 15:18:36 Estimation theory Markov models Probability theory Variational Bayesian methods Mixture model Normal distribution Marginal likelihood Deviance information criterion Gaussian process Statistics Probability and statistics Bayesian statistics
77	Online Variational Inference for the Hierarchical Dirichlet Process Chong Wang John Paisley David M. Blei Computer Science Department, Princeton University Add to Reading List Source URL: jmlr.csail.mit.edu Language: English - Date: 2011-06-30 04:29:57 Latent Dirichlet allocation Dynamic topic model Variational Bayesian methods Topic model Hidden Markov model Calculus of variations Mixture model Bayesian inference Dirichlet process Statistics Statistical natural language processing Bayesian statistics
78	The GPML Toolbox version 3.5 Carl Edward Rasmussen & Hannes Nickisch March 25, 2015 Abstract The GPML toolbox is an Octave 3.2.x and Matlab 7.x implementation of inference and prediction in Gaussian process (GP) models. Add to Reading List Source URL: www.gaussianprocess.org Language: English Probability theory Algebra of random variables Geostatistics Covariance Variational Bayesian methods Bayesian inference Gaussian process Hyperprior Variance Statistics Bayesian statistics Covariance and correlation
79	Nonlin. Processes Geophys., 21, 1145–1157, 2014 www.nonlin-processes-geophys.net[removed]doi:[removed]npg[removed] © Author(s[removed]CC Attribution 3.0 License. Non-parametric Bayesian mixture of sparse regr Add to Reading List Source URL: www.nonlin-processes-geophys.net Language: English - Date: 2014-12-04 10:34:51 Regression analysis Bayesian statistics Estimation theory Linear regression Mixture model Dirichlet process Variational Bayesian methods Normal distribution Parameter Statistics Econometrics Statistical models
80	Mixed Membership Stochastic Blockmodels Edoardo M. Airoldi 1,2 , David M. Blei 1 , Stephen E. Fienberg 3,4 & Eric P. Xing 4∗ 1 Department of Computer Science, 2 Lewis-Sigler Institute, Princeton University 3 Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:20 Missing data Bayesian statistics Kalman filter Latent Dirichlet allocation Constructible universe FO Kullback–Leibler divergence Variational Bayesian methods Statistics Estimation theory Expectation–maximization algorithm

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