Random Fields and Geometry

Jonathan E. Taylor

ISBN 10: 0387481125 / ISBN 13: 9780387481128

Editore: Springer New York Jun 2007, 2007

Riguardo questo articolo

This item is printed on demand - it takes 3-4 days longer - Neuware -Since the term 'random eld'' has a variety of different connotations, ranging from agriculture to statistical mechanics, let us start by clarifying that, in this book, a random eld is a stochastic process, usually taking values in a Euclidean space, and de ned over a parameter space of dimensionality at least 1. Consequently, random processes de ned on countable parameter spaces will not 1 appear here. Indeed, even processes on R will make only rare appearances and, from the point of view of this book, are almost trivial. The parameter spaces we like best are manifolds, although for much of the time we shall require no more than that they be pseudometric spaces. With this clari cation in hand, the next thing that you should know is that this book will have a sequel dealing primarily with applications. In fact, as we complete this book, we have already started, together with KW (Keith Worsley), on a companion volume [8] tentatively entitled RFG-A,or Random Fields and Geometry: Applications. The current volume-RFG-concentrates on the theory and mathematical background of random elds, while RFG-A is intended to do precisely what its title promises. Once the companion volume is published, you will nd there not only applications of the theory of this book, but of (smooth) random elds in general. 472 pp. Englisch.

Codice articolo 9780387481128

Dati bibliografici

• Titolo: Random Fields and Geometry
• Editore: Springer New York Jun 2007
• Data di pubblicazione: 2007
• Lingua: Inglese
• ISBN 10: 0387481125
• ISBN 13: 9780387481128
• Rilegatura: Buch
• Condizione: Neu
• Dimensioni: 241 L x 160 A x 31 P (millimetri) 241 millimetri di larghezza per 160 millimetri di altezza per 31 millimetri di profondità
• Peso: 869 grammi

Descrizione articolo

Riassunto

This monograph is devoted to a completely new approach to geometric problems arising in the study of random fields. The groundbreaking material in Part III, for which the background is carefully prepared in Parts I and II, is of both theoretical and practical importance, and striking in the way in which problems arising in geometry and probability are beautifully intertwined.

"Random Fields and Geometry" will be useful for probabilists and statisticians, and for theoretical and applied mathematicians who wish to learn about new relationships between geometry and probability. It will be helpful for graduate students in a classroom setting, or for self-study. Finally, this text will serve as a basic reference for all those interested in the companion volume of the applications of the theory.

 

Dalla quarta di copertina

This monograph is devoted to a completely new approach to geometric problems arising in the study of random fields. The groundbreaking material in Part III, for which the background is carefully prepared in Parts I and II, is of both theoretical and practical importance, and striking in the way in which problems arising in geometry and probability are beautifully intertwined.

The three parts to the monograph are quite distinct. Part I presents a user-friendly yet comprehensive background to the general theory of Gaussian random fields, treating classical topics such as continuity and boundedness, entropy and majorizing measures, Borell and Slepian inequalities. Part II gives a quick review of geometry, both integral and Riemannian, to provide the reader with the material needed for Part III, and to give some new results and new proofs of known results along the way. Topics such as Crofton formulae, curvature measures for stratified manifolds, critical point theory, and tube formulae are covered. In fact, this is the only concise, self-contained treatment of all of the above topics, which are necessary for the study of random fields. The new approach in Part III is devoted to the geometry of excursion sets of random fields and the related Euler characteristic approach to extremal probabilities.

"Random Fields and Geometry" will be useful for probabilists and statisticians, and for theoretical and applied mathematicians who wish to learn about new relationships between geometry and probability. It will be helpful for graduate students in a classroom setting, or for self-study. Finally, this text will serve as a basic reference for all those interested in the companion volume of the applications of the theory. These applications, to appear in a forthcoming volume, will cover areas as widespread as brain imaging, physical oceanography, and astrophysics.