A Note on Learning Dependence under Severe Uncertainty

DOI10.1007/978-3-319-08852-5_51zbMath1420.62249OpenAlexW1846568904MaRDI QIDQ5227402

Frank P. A. Coolen, Sebastien Destercke, Matthias C. M. Troffaes

Publication date: 26 July 2019

Published in: Information Processing and Management of Uncertainty in Knowledge-Based Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-08852-5_51

zbMATH Keywords

copulabivariate dataimprecise probabilityGaussian copulacategorical datarobust Bayesian

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Applications of statistics to biology and medical sciences; meta analysis (62P10) Characterization and structure theory for multivariate probability distributions; copulas (62H05)

Related Items (1)

Comonotonicity for sets of probabilities

Cites Work

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• Probability boxes on totally preordered spaces for multivariate modelling
• Probabilistic arithmetic. I: Numerical methods for calculating convolutions and dependency bounds
• An introduction to copulas. Properties and applications
• Imprecision and prior-data conflict in generalized Bayesian inference
• The Selection of Prior Distributions by Formal Rules
• Introduction to Imprecise Probabilities

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