ENGLISH

Analysis and Approximation of Rare Events

Book information

Publisher
Springer
Year
2019
ISBN
978-1-4939-9577-6
Language
english
Format
PDF
Filesize
7 MB (7003709 bytes)
Series
Probability Theory and Stochastic Modelling 94
Edition
1
Pages
577\577
Time added
2019-08-11 16:35:21

Description

This book presents broadly applicable methods for the large deviation and moderate deviation analysis of discrete and continuous time stochastic systems. A feature of the book is the systematic use of variational representations for quantities of interest such as normalized logarithms of probabilities and expected values. By characterizing a large deviation principle in terms of Laplace asymptotics, one converts the proof of large deviation limits into the convergence of variational representations. These features are illustrated though their application to a broad range of discrete and continuous time models, including stochastic partial differential equations, processes with discontinuous statistics, occupancy models, and many others. The tools used in the large deviation analysis also turn out to be useful in understanding Monte Carlo schemes for the numerical approximation of the same probabilities and expected values. This connection is illustrated through the design and analysis of importance sampling and splitting schemes for rare event estimation. The book assumes a solid background in weak convergence of probability measures and stochastic analysis, and is suitable for advanced graduate students, postdocs and researchers. Front Matter ....Pages i-xix Front Matter ....Pages 1-1 General Theory (Amarjit Budhiraja, Paul Dupuis)....Pages 3-29 Relative Entropy and Tightness of Measures (Amarjit Budhiraja, Paul Dupuis)....Pages 31-47 Examples of Representations and Their Application (Amarjit Budhiraja, Paul Dupuis)....Pages 49-76 Front Matter ....Pages 77-78 Recursive Markov Systems with Small Noise (Amarjit Budhiraja, Paul Dupuis)....Pages 79-117 Moderate Deviations for Recursive Markov Systems (Amarjit Budhiraja, Paul Dupuis)....Pages 119-149 Empirical Measure of a Markov Chain (Amarjit Budhiraja, Paul Dupuis)....Pages 151-179 Models with Special Features (Amarjit Budhiraja, Paul Dupuis)....Pages 181-207 Front Matter ....Pages 209-210 Representations for Continuous Time Processes (Amarjit Budhiraja, Paul Dupuis)....Pages 211-244 Abstract Sufficient Conditions for Large and Moderate Deviations in the Small Noise Limit (Amarjit Budhiraja, Paul Dupuis)....Pages 245-260 Large and Moderate Deviations for Finite Dimensional Systems (Amarjit Budhiraja, Paul Dupuis)....Pages 261-294 Systems Driven by an Infinite Dimensional Brownian Noise (Amarjit Budhiraja, Paul Dupuis)....Pages 295-318 Stochastic Flows of Diffeomorphisms and Image Matching (Amarjit Budhiraja, Paul Dupuis)....Pages 319-342 Models with Special Features (Amarjit Budhiraja, Paul Dupuis)....Pages 343-380 Front Matter ....Pages 381-382 Rare Event Monte Carlo and Importance Sampling (Amarjit Budhiraja, Paul Dupuis)....Pages 383-412 Performance of an IS Scheme Based on a Subsolution (Amarjit Budhiraja, Paul Dupuis)....Pages 413-437 Multilevel Splitting (Amarjit Budhiraja, Paul Dupuis)....Pages 439-469 Examples of Subsolutions and Their Application (Amarjit Budhiraja, Paul Dupuis)....Pages 471-508 Back Matter ....Pages 509-574

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