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Posterior inference for sparse hierarchical non-stationary models.
Karla Monterrubio-Gómez
Lassi Roininen
Sara Wade
Theodoros Damoulas
Mark Girolami
Published in:
Comput. Stat. Data Anal. (2020)
Keyphrases
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non stationary
random fields
covariance function
autoregressive
probabilistic model
bayesian framework
multiscale
probability distribution
parameter estimation
concept drift
white noise
computer vision
bayesian inference
dynamic bayesian networks
markov chain monte carlo
structured prediction