Geometric aspects of probability theory and mathematical statistics

Description:

This book demonstrates the usefulness of geometric methods in probability theory and mathematical statistics, and shows close relationships between these disciplines and convex analysis. Deep facts and statements from the theory of convex sets are discussed with their applications to various questions arising in probability theory, mathematical statistics, and the theory of stochastic processes. The book is essentially self-contained, and the presentation of material is thorough in detail. Audience: The topics considered in the book are accessible to a wide audience of mathematicians, and graduate and postgraduate students, whose interests lie in probability theory and convex geometry.

subjects: Convex domains,  Geometric probabilities,  Probability & statistics,  Stochastics,  Probabilities,  Functional Analysis,  Mathematics,  Science/Mathematics,  Probability & Statistics - General,  General,  Mathematics / Statistics,  Distribution (Probability theory),  Discrete groups,  Statistics,  Probability Theory and Stochastic Processes,  Statistics, general,  Convex and Discrete Geometry,  Measure and Integration