A Weak Convergence Approach to the Theory of Large Deviations: 313 (Wiley Series in Probability and Statistics) - Hardcover

Dupuis, Paul

Hardcover

ISBN 10: 0471076724 ISBN 13: 9780471076728

Verlag: Wiley-Interscience, 1997

Inhaltsangabe

Páginas:508Géneros:12:PBT:Probability&statisticsSinopsis:

Über diesen Titel

Reseña del editor

Applies the well-developed tools of the theory of weak convergence of probability measures to large deviation analysis--a consistent new approach The theory of large deviations, one of the most dynamic topics in probability today, studies rare events in stochastic systems. The nonlinear nature of the theory contributes both to its richness and difficulty. This innovative text demonstrates how to employ the well-established linear techniques of weak convergence theory to prove large deviation results. Beginning with a step-by-step development of the approach, the book skillfully guides readers through models of increasing complexity covering a wide variety of random variable-level and process-level problems. Representation formulas for large deviation-type expectations are a key tool and are developed systematically for discrete-time problems. Accessible to anyone who has a knowledge of measure theory and measure-theoretic probability, A Weak Convergence Approach to the Theory of Large Deviations is important reading for both students and researchers.

Biografía del autor

PAUL DUPUIS is a professor in the Division of Applied Mathematics at Brown University in Providence, Rhode Island. RICHARD S. ELLIS is a professor in the Department of Mathematics and Statistics at the University of Massachusetts at Amherst.

Details zur Ausgabe

• Verlag: Wiley-Interscience
• Erscheinungsdatum: 1997
• ISBN 10: 0471076724
• ISBN 13: 9780471076728
• Einband: Tapa dura
• Sprache: Englisch
• Anzahl der Seiten: 508