A Continuous Updating Rule for Imprecise Probabilities

DOI10.1007/978-3-319-08852-5_44zbMath1456.68193OpenAlexW2144024950MaRDI QIDQ5227396

Marco E. G. V. Cattaneo

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_44

zbMATH Keywords

robustnessnatural extensionHausdorff distanceregular extension\(\alpha\)-cutcoherent lower and upper previsions

Mathematics Subject Classification ID

Reasoning under uncertainty in the context of artificial intelligence (68T37) Foundations of probability theory (60A99)

Related Items (4)

Conditioning, updating and lower probability zero ⋮ Comment on: ``On focusing, soft and strong revision of Choquet capacities and their role in statistics ⋮ Estimation of classification probabilities in small domains accounting for nonresponse relying on imprecise probability ⋮ Learning with imprecise probabilities as model selection and averaging

Cites Work

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• Updating coherent previsions on finite spaces
• Updating ambiguous beliefs
• Coefficients of ergodicity for Markov chains with uncertain parameters
• Likelihood-based imprecise regression
• Likelihood-Based Robust Classification with Bayesian Networks
• Minimax Theorems

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