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arXiv · 2005.11963

Non-Destructive Sample Generation From Conditional Belief Functions

Mieczysław A. Kłopotek
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Abstract

This paper presents a new approach to generate samples from conditional belief functions for a restricted but non trivial subset of conditional belief functions. It assumes the factorization (decomposition) of a belief function along a bayesian network structure. It applies general conditional belief functions.

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Mieczysław A. Kłopotek. 2020-05-25. Non-Destructive Sample Generation From Conditional Belief Functions. https://arxiv.org/abs/2005.11963

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