Marginal likelihood - PDFSEARCH.IO - Document Search Engine

Marginal likelihood
Results: 108

#	Item
31	Journal of Artificial Intelligence Research203 Submitted 11/12; publishedA Survey on Latent Tree Models and Applications Rapha¨ Add to Reading List Source URL: www.jair.org Language: English - Date: 2013-05-31 00:53:01 Latent variable Expectation–maximization algorithm Latent class model Bayesian network Graphical model Mixture model Marginal likelihood Statistics Statistical models Bayesian statistics
32	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
33	PDF Document Add to Reading List Source URL: people.math.aau.dk Language: English - Date: 2014-04-25 09:55:31 Bayesian statistics Expectation–maximization algorithm Missing data Signal processing Wavelet Mixture model Normal distribution Likelihood function Marginal likelihood Statistics Probability and statistics Estimation theory
34	Robust Estimation of ARMA Models with Near Root Cancellation Timothy Cogley Richard Startz* May 2012 Abstract Standard estimation of ARMA models in which the AR and MA roots nearly cancel, so that Add to Reading List Source URL: www.econ.ucsb.edu Language: English - Date: 2012-09-17 18:54:26 Statistical theory Statistical inference Bayesian inference Bayes factor Marginal likelihood Likelihood-ratio test A priori Likelihood function Point estimation Statistics Bayesian statistics Estimation theory
35	Bayesian IV: the normal case with multiple endogenous variables Timothy Cogley and Richard Startz SeptemberAbstract Add to Reading List Source URL: www.econ.ucsb.edu Language: English - Date: 2012-09-17 18:42:01 Regression analysis Simultaneous equations model Gibbs sampling Instrumental variable Errors-in-variables models Conjugate prior Multivariate normal distribution Normal distribution Marginal likelihood Statistics Econometrics Bayesian statistics
36	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
37	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
38	Latent GOLD 4.0 and IRT modeling Jeroen K. Vermunt & Jay Magidson February 23, 2006 Latent GOLD 4.0 can be used to obtain MML (Marginal Maximum Likelihood) estimates for a large variety of well-known IRT models, such as Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2006-09-05 12:23:44 Rasch model Latent variable model Logistic regression Level of measurement Regression analysis Statistics Statistical models Psychometrics
39	Information bounds for Gaussian copulas Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2014-03-04 18:56:11 Bayesian statistics M-estimators Maximum likelihood Copula Marginal likelihood Fisher information Likelihood function Multivariate normal distribution Parametric model Statistics Estimation theory Statistical theory
40	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

UPDATE