KSL-91-67 + redirect page
A Bayesian Analysis of Simulation Algorithms for Inference in Belief Networks + Has identifier
A Bayesian Analysis of Simulation Algorithms for Inference in Belief Networks + Ksl tr id
A Bayesian Analysis of Simulation Algorithms for Inference in Belief Networks + Number
| A Bayesian Analysis of Simulation Algorithms for Inference in Belief Networks |
Bibtype
techreport
Has publishing details
1993
Has title
A Bayesian Analysis of Simulation Algorithms for Inference in Belief Networks
Has where published
KSL-91-67
Has year
1993
Title
A Bayesian Analysis of Simulation Algorithms for Inference in Belief Networks
Year
1993
Abstract
Belief networks are an expressive represen … Belief networks are an expressive representation for encoding expert knowledge about uncertain causal relationships. Both exact and approximation methods for performing inference with belief networks can pose difficult computational problems in the worst case. Nevertheless, approximation procedures hold promise to provide estimates efficiently for a variety of complex networks that resist exact solution. We characterize the performance of algorithms in the important class of inference procedures based on stochastic simulation. We develop terms for the error associated with estimates generated by several simulation methods, including forward simulation, likelihood weighting, and randomized approximation strategies. , and randomized approximation strategies.
Note
September.
Author
Paul Dagum and Eric Horvitz +
Has author
Paul Dagum and Eric Horvitz +
Has identifier
A Bayesian Analysis of Simulation Algorithms for Inference in Belief Networks +
Institution
Knowledge Systems, AI Laboratory +
Ksl tr id
A Bayesian Analysis of Simulation Algorithms for Inference in Belief Networks +
Number
A Bayesian Analysis of Simulation Algorithms for Inference in Belief Networks +
Process note
YES +
Categories KSL Technical Report +, Publication +, Technical Report +
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