TABLE OF CONTENTS; PREFACE; Section 1; Section 2; Section 3; Section 4; Section 5; Section 6; Section 7; Section 8; Section 9; Section 10; Section 11; Section 12; Section 13; Section 14; Section 15; Section 16; Section 17; Section 18; Section 19; REFERENCES; SUBJECT INDEX; LIST OF BASIC NOTATIONS.

It is well known that the normal distribution is the most pleasant, one can even say, an exemplary object in the probability theory. It combines almost all conceivable nice properties that a distribution may ever have: symmetry, stability, indecomposability, a regular tail behavior, etc. Gaussian measures (the distributions of Gaussian random functions), as infinite-dimensional analogues of tht

**Title:**Gaussian Random Functions

**Author:**M.A. Lifshits

**ISBN:**0792333853,9780792333852

**Publisher:**Springer Science & Business Media

**Genre:**Mathematics / Probability & Statistics / General

**Date Published:**1995-02-28

**Pages:**337

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