A non-homogeneous dynamic Bayesian network with a hidden Markov model dependency structure among the temporal data points

标题
A non-homogeneous dynamic Bayesian network with a hidden Markov model dependency structure among the temporal data points
作者
关键词
Non-homogeneous dynamic Bayesian network, Hidden Markov model, Mixture model, Multiple changepoint process , Markov Chain Monte Carlo (MCMC), Allocation sampler
出版物
MACHINE LEARNING
Volume 102, Issue 2, Pages 155-207
出版商
Springer Nature
发表日期
2015-05-28
DOI
10.1007/s10994-015-5503-2

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