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Random Fields and Geometry [Hardcover]

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  • Category: Books (Mathematics)
  • Author:  Adler, R. J., Taylor, Jonathan E.
  • Author:  Adler, R. J., Taylor, Jonathan E.
  • ISBN-10:  0387481125
  • ISBN-10:  0387481125
  • ISBN-13:  9780387481128
  • ISBN-13:  9780387481128
  • Publisher:  Springer
  • Publisher:  Springer
  • Pages:  454
  • Pages:  454
  • Binding:  Hardcover
  • Binding:  Hardcover
  • Pub Date:  01-Feb-2007
  • Pub Date:  01-Feb-2007
  • SKU:  0387481125-11-SPRI
  • SKU:  0387481125-11-SPRI
  • Item ID: 100248168
  • List Price: $159.99
  • Seller: ShopSpell
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  • Delivery by: Nov 30 to Dec 02
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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.

 

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.

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 thinlc)

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