A characterization of stochastic independence by association with an application to random utility theory
From MaRDI portal
Publication:1054100
DOI10.1016/0022-2496(83)90029-9zbMath0518.62044OpenAlexW2022903263MaRDI QIDQ1054100
Publication date: 1983
Published in: Journal of Mathematical Psychology (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0022-2496(83)90029-9
random utility theoryassociation of random variablescharacterization of stochastic independenceSattath-Tversky inequality without continuity assumptions
Multivariate analysis (62H99) Characterization and structure theory for multivariate probability distributions; copulas (62H05)
Related Items
Prior distributions for random choice structures, A historical and contemporary perspective on random scale representations of choice probabilities and reaction times in the context of Cohen and Falmagne's (1990, Journal of Mathematical Psychology, 34) results, Bayesian inference and model comparison for random choice structures
Cites Work
- Unnamed Item
- An invariance principle for certain dependent sequences
- A review of selected topics in multivariate probability inequalities
- Association and probability inequalities
- Unite and Conquer: A Multiplicative Inequality for Choice Probabilities
- Some Concepts of Dependence
- Characterizations of Independence in Certain Families of Bivariate and Multivariate Distributions
- Association of Random Variables, with Applications
