Bayesian Structural Equation Models: A Health Application

First Page		Document Content
Date: 2013-01-15 18:54:47 Hierarchical Bayes model Latent variable Prior probability Structural equation modeling Graphical model Gibbs sampling Strong prior Markov chain Monte Carlo Bayesian network Statistics Bayesian statistics Bayesian inference		Bayesian Structural Equation Models: A Health Application Add to Reading List Source URL: www.mssanz.org.au Download Document from Source Website File Size: 378,21 KB Share Document on Facebook

	A Discriminative Latent Variable Chinese Segmenter with Hybrid Word/Character Information Xu Sun Department of Computer Science University of Tokyo DocID: 1vpL7 - View Document
	The Information-Autoencoding Family: A Lagrangian Perspective on Latent Variable Generative Modeling Shengjia Zhao Stanford University DocID: 1vp3u - View Document
	Build, Compute, Critique, Repeat: Data Analysis with Latent Variable Models David M. Blei Columbia University Abstract DocID: 1vjDI - View Document
	Technical Report: University of Edinburgh, Latent-Variable MDP Models for Adapting the Interaction Environment of Diverse Users Subramanian Ramamoorthy M. M. Hassan Mahmud DocID: 1vjAh - View Document
	Psychology 454: Psychological Measurement An introduction to latent variable modeling William Revelle Swift 315 email: November 21, 2016 DocID: 1vapV - View Document