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Weak Convergence Approach to the Theory of Large Deviations
Paul Dupuis
€ 250.28
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Description for Weak Convergence Approach to the Theory of Large Deviations
Hardcover. 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. Series: Wiley Series in Probability and Statistics. Num Pages: 504 pages, black & white illustrations. BIC Classification: PBT; PDE; TBJ. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 243 x 166 x 40. Weight in Grams: 876.
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 ... Read more
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 ... Read more
Product Details
Format
Hardback
Publication date
1997
Publisher
John Wiley & Sons Inc United States
Number of pages
504
Condition
New
Series
Wiley Series in Probability and Statistics
Number of Pages
504
Place of Publication
, United States
ISBN
9780471076728
SKU
V9780471076728
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-50
About Paul Dupuis
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.
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