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Gaussian process
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#	Item
151	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
152	Learning Community-based Preferences via Dirichlet Process Mixtures of Gaussian Processes 1 Approximation of the Community Utilities Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2015-03-17 00:39:18 Probability and statistics Probability Statistics Normal distribution Symbol
153	Space-time modelling: Spatial modelling Add to Reading List Source URL: www.nrcse.washington.edu Language: English - Date: 2012-10-16 13:54:15 Estimation theory Econometrics Data analysis Variogram Kriging Linear regression Covariance function Multivariate normal distribution Gaussian process Statistics Geostatistics Covariance and correlation
154	Markov Regime-Switching Tests: Asymptotic Critical Values Andrew V. Carter Department of Statistics University of California, Santa Barbara Douglas G. Steigerwald Add to Reading List Source URL: www.econ.ucsb.edu Language: English - Date: 2011-11-28 13:55:11 Estimation theory Statistical theory Hypothesis testing Likelihood-ratio test Maximum likelihood Normal distribution Null hypothesis Multivariate normal distribution Gaussian process Statistics Statistical inference Statistical tests
155	Bayesian Inference for Non-Markovian Point Processes Peter Guttorp∗ and Thordis L. Thorarinsdottir† November 19, Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2010-11-19 13:41:42 Bayesian statistics Estimation theory Conjugate prior Cox process Point process Marginal likelihood Normal distribution Gaussian process Bayes estimator Statistics Stochastic processes Poisson processes
156	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
157	Decision-theoretic Sparsification for Gaussian Process Preference Learning M. Ehsan Abbasnejad1 , Edwin V. Bonilla2 , and Scott Sanner3 1 2 Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2015-03-17 00:39:18 Symbol Kullback–Leibler divergence Statistics Normal distribution Model theory
158	Gaussian Process Preference Elicitation Edwin V. Bonilla, Shengbo Guo, Scott Sanner NICTA & ANU, Locked Bag 8001, Canberra ACT 2601, Australia {edwin.bonilla, shengbo.guo, scott.sanner}@nicta.com.au Abstract Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2010-11-05 21:14:04 Statistical theory Econometrics Information systems Normal distribution Preference elicitation Loss function Collaborative filtering Likelihood function Gaussian process Statistics Estimation theory Bayesian statistics
159	Learning Community-based Preferences via Dirichlet Process Mixtures of Gaussian Processes Ehsan Abbasnejad Scott Sanner ANU & NICTA NICTA & ANU Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2015-03-17 00:39:18 Markov chain Normal distribution Dirichlet process Bayesian inference Marginal likelihood Conjugate prior Statistics Bayesian statistics Mixture model
160	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

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