Statistical convergence of random variables provides a rigorous framework to describe how sequences of random quantities approach limiting behaviour in probability, in distribution and in more refined ...
Introduction to probability theory and its applications. Axioms of probability, distributions, discrete and continuous random variables, conditional and joint distributions, correlation, limit laws, ...
Statistical inference for high-dimensional random processes addresses the problem of making reliable conclusions when the number of variables or dimensions grows as fast as, or faster than, the sample ...
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