Answering queries in hybrid Bayesian networks using importance sampling

Answering queries in hybrid Bayesian networks using importance sampling

In this paper we propose an algorithm for answering queries in hybrid Bayesian networks where the underlying probability distribution is of class MTE (mixture of truncated exponentials). The algorithm is based on importance sampling simulation. We show how, like existing importance sampling algorith...

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Bibliographic Details
Main Authors: Fernández, Antonio, Rumí, Rafael, Salmerón Cerdán, Antonio
Format: info:eu-repo/semantics/article
Language:English
Published: 2017
Subjects:
Bayesian networks
Probabilistic reasoning
Importance sampling
Mixtures of truncated exponentials
Online Access:http://hdl.handle.net/10835/4895
https://doi.org/10.1016/j.dss.2012.03.007

Internet

http://hdl.handle.net/10835/4895
https://doi.org/10.1016/j.dss.2012.03.007

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