Rejoinder on ``Imprecise probability models for learning multinomial distributions from data. applications to learning credal networks

DOI10.1016/j.ijar.2014.04.017zbMath1407.68409OpenAlexW2530710588MaRDI QIDQ2509615

Andrés R. Masegosa, Serafín Moral

Publication date: 29 July 2014

Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ijar.2014.04.017

zbMATH Keywords

learningimprecise probabilitycredal networkscredal classificationimprecise prior modelsnear-ignorance

Mathematics Subject Classification ID

Bayesian inference (62F15) Learning and adaptive systems in artificial intelligence (68T05) Reasoning under uncertainty in the context of artificial intelligence (68T37) Parametric inference and fuzziness (62F86)

Cites Work

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• Imprecise probabilities for representing ignorance about a parameter
• Representation insensitivity in immediate prediction under exchangeability
• Limits of learning about a categorical latent variable under prior near-ignorance
• Imprecise probability models for learning multinomial distributions from data. Applications to learning credal networks
• On various ways of tackling incomplete information in statistics
• Learning imprecise probability models: conceptual and practical challenges
• Comments on ``Imprecise probability models for learning multinomial distributions from data. applications to learning credal networks

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