QUANTIFICATION OF INCOMPATIBILITY OF CONDITIONAL AND MARGINAL INFORMATION

DOI10.1081/STA-100002087zbMath1016.60014OpenAlexW2091448436MaRDI QIDQ4540596

Barry C. Arnold, José María Sarabia, Enrique F. Castillo

Publication date: 28 July 2002

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

Full work available at URL: https://doi.org/10.1081/sta-100002087

zbMATH Keywords

linear programmingquadratic programmingjoint distributionconditional distributionimprecise probabilitiesmarginal distribution\(\eta\)-compatibility\(\varepsilon\)-compatibility

Mathematics Subject Classification ID

Characterization and structure theory for multivariate probability distributions; copulas (62H05) Exact distribution theory in statistics (62E15) Probability distributions: general theory (60E05)

Related Items (5)

Compatibility of partial or complete conditional probability specifications ⋮ On compatibility/incompatibility of two discrete probability distributions in the presence of incomplete specification ⋮ A complete characterization of bivariate densities using the conditional percentile function ⋮ An alternative approach for compatibility of two discrete conditional distributions ⋮ A Unified Method for Checking Compatibility and Uniqueness for Finite Discrete Conditional Distributions

Cites Work

• Conditional specification of statistical models.

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