Minimum Cross-Entropy Reasoning: A Statistical Justification

Jaeger, Manfred

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Minimum Cross-Entropy Reasoning: A Statistical Justification

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Jaeger, Manfred
Programming Logics, MPI for Informatics, Max Planck Society;

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https://www.ijcai.org/Proceedings/95-2/Papers/105.pdf
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Citation

Jaeger, M. (1995). Minimum Cross-Entropy Reasoning: A Statistical Justification. In C. S. Mellish (Ed.), IJCAI-95 (pp. 1847-1852). San Francisco, USA: Morgan Kaufmann.

Cite as: https://hdl.handle.net/11858/00-001M-0000-0014-AD0C-3

Abstract

Degrees of belief are formed using observed evidence and statistical
background information. In this paper we examine the process of how
prior degrees of belief derived from the evidence are combined with
statistical data to form more specific degrees of belief. A statistical
model for this process then is shown to vindicate the cross-entropy
minimization principle as a rule for probabilistic default-inference.