Record Details


Field	Value

Title	Bayesian approximation and invariance of Bayesian belief functions

Names	JOSHI, AV SAHASRABUDHE, SC SHANKAR, K
Date Issued	1995 (iso8601)
Abstract	The Dempster-Shafer theory is being applied for handling uncertainty in various domains. Many methods have been suggested in the literature for faster computation of belief which is otherwise exponentially complex. Bayesian approximation is one such method. In this paper, we first present some results on invariance of Bayesian belief functions under Dempster's combination rule. Based on this, we interpret Bayesian approximation and further show that it inherits these properties from the combination operator of Dempster's combination rule. Finally, we bring into focus the limitation of Bayesian approximation.
Genre	Article; Proceedings Paper
Topic	Dempster-Shafer Theory
Identifier	SYMBOLIC AND QUANTITATIVE APPROACHES TO REASONING AND UNCERTAINTY,946,251-258

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