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Approximating Probability Density Functions with Mixtures of Truncated Exponentials

Cobb, Barry R.
; 
Shenoy, Prakash P.
; 
Rumi, Rafael
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Abstract
Mixtures of truncated exponentials (MTE) potentials are an alternative to discretization for approximating probability density functions (PDF’s). This paper presents MTE potentials that approximate standard PDF’s and applications of these potentials for solving inference problems in hybrid Bayesian networks.
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2004-07
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School of Business Scholarly Works
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IPMU04.pdf
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Keywords
Hybrid Bayesian networks, Mixtures of truncated exponentials, Shenoy-Shafer architecture
Citation
Cobb, B. R., P. P. Shenoy, and R. Rumi, "Approximating Probability Density Functions with Mixtures of Truncated Exponentials," Proceedings of the Tenth Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU-04), pp. 429--436, 2004, Perugia, Italy
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https://hdl.handle.net/1808/761
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