A Weak Convergence Approach to the Theory of Large Deviations (Hardcover) (ISBN-13: 9780471076728)

Applies the well-developed tools of the theory of weak convergenceof probability measures to large deviation analysis--a consistentnew approach

The theory of large deviations, one of the most dynamic topics inprobability today, studies rare events in stochastic systems. Thenonlinear nature of the theory contributes both to its richness anddifficulty. This innovative text demonstrates how to employ thewell-established linear techniques of weak convergence theory toprove large deviation results. Beginning with a step-by-stepdevelopment of the approach, the book skillfully guides readersthrough models of increasing complexity covering a wide variety ofrandom variable-level and process-level problems. Representationformulas for large deviation-type expectations are a key tool andare developed systematically for discrete-time problems.

Accessible to anyone who has a knowledge of measure theory andmeasure-theoretic probability, A Weak Convergence Approach to theTheory of Large Deviations is important reading for both studentsand researchers.

Author: Paul Dupuis, Richard S. Ellis
ISBN-10: 0471076724
ISBN-13: 9780471076728
Publisher: Wiley-Interscience
Language: English
Published: 02/27/1997
Pages: 504
Format: Hardcover
Weight: 1.96lbs
Size: 9.55h x 6.47w x 1.17d