On independence and large deviations for sublinear expectations

Autor: Terán, Pedro, Zapataa, José M.
Rok vydání: 2024
Předmět:
Druh dokumentu: Working Paper
Popis: We prove by counterexample that a large deviation principle established by Chen and Feng [{\em Comm. Statist. Theory Methods} {\bf 45} (2016), 400--412] in the framework of sublinear expectations is incorrect. That implies that the rate function cannot, in general, be obtained by computing the Fenchel transform of the cumulant generating function, as is the case for ordinary probabilities. We derive a corrected version of that result and show that the original presentation holds under a stronger independence assumption.
Databáze: arXiv