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Approximate Laplace importance sampling for the estimation of expected Shannon information gain in high-dimensional Bayesian design for nonlinear models.
Yiolanda Englezou
Timothy W. Waite
David C. Woods
Published in:
Stat. Comput. (2022)
Keyphrases
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importance sampling
information gain
monte carlo
high dimensional
feature selection
mutual information
text categorization
markov chain monte carlo
markov chain
naive bayes
kalman filter
posterior distribution
nonlinear models
approximate inference
parameter estimation
maximum likelihood
bayesian networks