Generalizations of some probability inequalities and \(L^{p}\) convergence of random variables for any monotone measure
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Publication:890281
DOI10.1214/14-BJPS251zbMath1328.60051OpenAlexW1734168960MaRDI QIDQ890281
Radko Mesiar, Hamzeh Agahi, Adel Mochammadpour
Publication date: 10 November 2015
Published in: Brazilian Journal of Probability and Statistics (Search for Journal in Brave)
Full work available at URL: https://projecteuclid.org/euclid.bjps/1442513451
Inequalities; stochastic orderings (60E15) Contents, measures, outer measures, capacities (28A12) Strong limit theorems (60F15)
Related Items (2)
On a strong law of large numbers for monotone measures ⋮ Generalizations of the Chebyshev-type inequality for Choquet-like expectation
Cites Work
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- On a characterization of \(L^ p\)-norm and a converse of Minkowski's inequality
- On the Chebyshev type inequality for seminormed fuzzy integral
- Two families of fuzzy integrals
- A generalization of Hölder's inequality and some probability inequalities
- Non-additive measure and integral
- Concentration inequalities using the entropy method
- Noncommutative and nonassociative pseudo-analysis and its applications on nonlinear partial differential equations
- On non-additive probabilistic inequalities of Hölder-type
- Relations among univariate aging, bivariate aging and dependence for exchangeable lifetimes
- A strong law of large numbers for capacities
- Bayes' theorem for Choquet capacities
- Choquet-like integrals
- Minimax tests and the Neyman-Pearson lemma for capacities
- Minimax tests and the Neyman-Pearson lemma for capacities. Correction
- Theory of capacities
- Probability Inequalities for Sums of Bounded Random Variables
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