A modified simulation scheme for inference in Bayesian networks

DOI10.1016/0888-613X(95)00114-VzbMath0956.68540WikidataQ126311068 ScholiaQ126311068MaRDI QIDQ1125782

Remco R. Bouckaert, José Manuel Gutiérrez, Enrique F. Castillo

Publication date: 1996

Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)

zbMATH Keywords

stratified simulation

Mathematics Subject Classification ID

Theory of languages and software systems (knowledge-based systems, expert systems, etc.) for artificial intelligence (68T35)

Related Items (3)

Importance sampling-based estimation over AND/OR search spaces for graphical models ⋮ Dynamic importance sampling in Bayesian networks based on probability trees ⋮ A Monte Carlo algorithm for probabilistic propagation in belief networks based on importance sampling and stratified simulation techniques

Cites Work

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• Approximating probabilistic inference in Bayesian belief networks is NP- hard
• Evidential reasoning using stochastic simulation of causal models
• Fusion and propagation with multiple observations in belief networks
• A Bayesian method for the induction of probabilistic networks from data
• The computational complexity of probabilistic inference using Bayesian belief networks

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