A Bayesian propensity score adjustment for latent variable modeling and MCMC algorithm.

Takahiro Hoshino

Published in: Comput. Stat. Data Anal. (2008)

Keyphrases

learning algorithm
posterior probability
latent variables
k means
monte carlo
probabilistic model
maximum likelihood
data sets
bayesian networks
posterior distribution
markov random field
markov chain
expectation maximization
prior information
bayesian framework
bayesian inference