Well behaved asymptotical convex functions
A. A. Auslender, J. P. Crouzeix (1989)
Annales de l'I.H.P. Analyse non linéaire
Similarity:
A. A. Auslender, J. P. Crouzeix (1989)
Annales de l'I.H.P. Analyse non linéaire
Similarity:
Nathael Gozlan (2005)
ESAIM: Probability and Statistics
Similarity:
In this paper, we prove a conditional principle of Gibbs type for random weighted measures of the form , being a sequence of i.i.d. real random variables. Our work extends the preceding results of Gamboa and Gassiat (1997), in allowing to consider thin constraints. Transportation-like ideas are used in the proof.
Martin Adamčík (2019)
Kybernetika
Similarity:
In this paper we present a result that relates merging of closed convex sets of discrete probability functions respectively by the squared Euclidean distance and the Kullback-Leibler divergence, using an inspiration from the Rényi entropy. While selecting the probability function with the highest Shannon entropy appears to be a convincingly justified way of representing a closed convex set of probability functions, the discussion on how to represent several closed convex sets of probability...
Marc Pirlot (1985)
Annales scientifiques de l'Université de Clermont-Ferrand 2. Série Probabilités et applications
Similarity: