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Post-processing of Markov chain Monte Carlo output in Bayesian latent variable models with application to multidimensional scaling.
Kensuke Okada
Shin-ichi Mayekawa
Published in:
Comput. Stat. (2018)
Keyphrases
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post processing
markov chain monte carlo
posterior distribution
latent variable models
multidimensional scaling
latent variables
preprocessing
generative model
posterior probability
bayesian inference
bayesian networks
machine learning
learning algorithm
low dimensional
distance function
approximate inference