International journal published by Institute of Information Theory and Automation

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Special issue: Editorial [Issue dedicated to Albert Perez]

Comparison of two methods for approximation of probability distributions with prescribed marginals

Marginal problem, statistical estimation, and Möbius formula

Comparing algorithms based on marginal problem

A short note on Perez’s approximation by dependence structure simplification

On possibilistic marginal problem

On generalized entropies, Bayesian decisions and statistical diversity

Neuromorphic features of probabilistic neural networks

Notes on the evolution of feature selection methodology

Optimality conditions for maximizers of the information divergence from an exponential family

Exploiting tensor rank-one decomposition in probabilistic inference