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Measures of independence and conditional independence are two important statistical concepts that have found profound applications in engineering such as in feature selection and causality detection, ...
This paper deals with a scalar response conditioned by a functional random variable. The main goal is to estimate nonparametrically the quantiles of such a conditional distribution when the sample is ...
An information geometric algorithm is proposed to control the shape of the conditional output probability density function for stochastic distribution control systems. The considered system is of ...
Concepts: Mutual exclusive, basic counting, probability measures, probability spaces, conditional probability, independence, total probability, Bayes's Theorem, discrete random variable and ...