Derivation of regression formulae using the minimum cross-entropy principle

DOI10.1016/0020-0255(82)90018-4zbMath0484.94016OpenAlexW1985659388MaRDI QIDQ1164021

John F. Cyranski

Publication date: 1982

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0020-0255(82)90018-4

zbMATH Keywords

linear regressioninductive inferencerelative frequency

Mathematics Subject Classification ID

Measures of information, entropy (94A17) Statistical aspects of information-theoretic topics (62B10)

Cites Work

• Information Theory and Statistical Mechanics
• Axiomatic derivation of the principle of maximum entropy and the principle of minimum cross-entropy
• Extension to the maximum entropy method
• Prior Probabilities
• The mutual information principle and applications
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