Concentration inequalities and laws of large numbers under epistemic and regular irrelevance

DOI10.1016/j.ijar.2010.08.009zbMath1348.68245arXiv0810.2821OpenAlexW2116684064MaRDI QIDQ622265

Fabio Gagliardi Cozman

Publication date: 31 January 2011

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

Full work available at URL: https://arxiv.org/abs/0810.2821

zbMATH Keywords

laws of large numbersirrelevance and independencelower and upper expectations and probabilities

Mathematics Subject Classification ID

Strong limit theorems (60F15) Reasoning under uncertainty in the context of artificial intelligence (68T37)

Related Items (10)

Strong laws of large numbers for sublinear expectation under controlled 1st moment condition ⋮ A strong law of large numbers for sub-linear expectation under a general moment condition ⋮ Laws of large numbers without additivity ⋮ Weak and strong laws of large numbers for sub-linear expectation ⋮ Sets of probability distributions, independence, and convexity ⋮ Unnamed Item ⋮ Extension of the strong law of large numbers for capacities ⋮ Counterexamples to a central limit theorem and a weak law of large numbers for capacities ⋮ Ergodic theorems for dynamic imprecise probability kinematics ⋮ Kuznetsov independence for interval-valued expectations and sets of probability distributions: properties and algorithms

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