Buch, Englisch, Band 120, 183 Seiten
Buch, Englisch, Band 120, 183 Seiten
Reihe: Translations of Mathematical Monographs
ISBN: 978-0-8218-4358-1
Verlag: American Mathematical Society
Aimed at students and researchers in mathematics, communications engineering, and economics, this book describes the probabilistic structure of a Gaussian process in terms of its canonical representation (or its innovation process). Multiple Markov properties of a Gaussian process and equivalence problems of Gaussian processes are clearly presented. The authors' approach is unique, involving causality in time evolution and information-theoretic aspects. Because the book is
self-contained and only requires background in the fundamentals of probability theory and measure theory, it would be suitable as a textbook at the senior undergraduate or graduate level.




