This book treats the very special and fundamental mathematical properties that hold for a family of Gaussian (or normal) random variables. Such random variables
At the nexus of probability theory, geometry and statistics, a Gaussian measure is constructed on a Hilbert space in two ways: as a product measure and via a ch
The book covers theoretical questions including the latest extension of the formalism, and computational issues and focuses on some of the more fruitful and pro
Stochastic Analysis for Gaussian Random Processes and Fields: With Applications presents Hilbert space methods to study deep analytic properties connecting prob
This text offers background in function theory, Hardy functions, and probability as preparation for surveys of Gaussian processes, strings and spectral function