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Nonparametric likelihood-free inference with Jensen-Shannon divergence for simulator-based models with categorical output.
Jukka Corander
Ulpu Remes
Ida Holopainen
Timo Koski
Published in:
CoRR (2022)
Keyphrases
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jensen shannon divergence
probabilistic model
statistical models
machine learning
image processing
model selection
parameter estimation
information theoretic
data sets
bayesian networks
objective function
support vector machine
random fields
markov chain monte carlo
dirichlet process