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Multinomial Sampling of Latent Variables for Hierarchical Change-Point Detection.
Lorena Romero-Medrano
Pablo Moreno-Muñoz
Antonio Artés-Rodríguez
Published in:
J. Signal Process. Syst. (2022)
Keyphrases
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latent variables
change point detection
normalized maximum likelihood
hierarchical model
probabilistic model
change point
non stationary
posterior distribution
latent variable models
sequential data
random variables
gaussian process
hidden variables
topic models
outlier detection
approximate inference
structural svms
prior knowledge
observed variables
real valued
expectation maximization
text classification
markov chain monte carlo
bayesian inference
latent space
random sampling
generative model
hidden markov models
machine learning
parameter space
sample size
spatially adaptive
minimum description length
em algorithm
language model
spatio temporal