A Convergent Iterative Procedure for Constructing Bivariate Distributions

DOI10.1080/03610920902846521zbMath1190.62103OpenAlexW2171319898MaRDI QIDQ3566551

Sedigheh Shams

Publication date: 8 June 2010

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://zenodo.org/record/3334171

zbMATH Keywords

convergenceiterative proceduremaximum entropycontingency tablescorrelation matrixmarginal distributionbivariate distribution

Mathematics Subject Classification ID

Multivariate analysis (62H99) Characterization and structure theory for multivariate probability distributions; copulas (62H05) Contingency tables (62H17) Statistical aspects of information-theoretic topics (62B10)

Related Items (1)

Minimum mutual information and non-Gaussianity through the maximum entropy method: theory and properties

Cites Work

• Unnamed Item
• Axiomatic derivation of the principle of maximum entropy and the principle of minimum cross-entropy
• Information Distinguishability with Application to Analysis of Failure Data
• AN EXAMPLE IN THE THEORY OF THE SPECTRUM OF A FUNCTION

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