Study of incompatibility or near compatibility of bivariate discrete conditional probability distributions through divergence measures

DOI10.1080/00949655.2013.806509zbMath1457.62039OpenAlexW2007665740MaRDI QIDQ5220708

Indranil Ghosh, Narayanaswamy Balakrishnan

Publication date: 27 March 2020

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2013.806509

zbMATH Keywords

iterative algorithmlinear programmingnonlinear programmingdivergence measuresconditional specificationincompatible conditionalsnear compatibility\( \varepsilon \)-compatibility

Mathematics Subject Classification ID

Characterization and structure theory for multivariate probability distributions; copulas (62H05) Statistical aspects of information-theoretic topics (62B10)

Related Items (5)

Exactly and almost compatible joint distributions for high-dimensional discrete conditional distributions ⋮ Prediction in Riemannian metrics derived from divergence functions ⋮ On the issue of convergence of certain divergence measures related to finding most nearly compatible probability distribution under the discrete set-up ⋮ On some aspects of a bivariate alternative zero-inflated logarithmic series distribution ⋮ On compatibility/incompatibility of two discrete probability distributions in the presence of incomplete specification

Cites Work

• Distributions most nearly compatible with given families of conditional distributions
• On uniform marginal representation of contingency tables
• Exact and near compatibility of discrete conditional distributions
• Conditional specification of statistical models.
• Expressions for Rényi and Shannon entropies for bivariate distributions
• Compatible Conditional Distributions
• A Measure of Asymptotic Efficiency for Tests of a Hypothesis Based on the sum of Observations
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