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Large Deviations and Applications

โœ Scribed by S R S Varadhan

Publisher
SIAM
Year
1984
Tongue
English
Leaves
84
Series
CBMS-NSF Regional Conference Series in Applied Mathematics 49
Category
Library
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๐Ÿ“œ SIMILAR VOLUMES

Large Deviations and Applications
๐Ÿ“ Large Deviations and Applications
โœ S. R. S. Varadhan ๐Ÿ“‚ Library ๐Ÿ“… 1987 ๐Ÿ› Society for Industrial Mathematics ๐ŸŒ English

Many situations exist in which solutions to problems are represented as function space integrals. Such representations can be used to study the qualitative properties of the solutions and to evaluate them numerically using Monte Carlo methods. The emphasis in this book is on the behavior of solution

Large Deviations and Applications
๐Ÿ“ Large Deviations and Applications
โœ S. R. S. Varadhan ๐Ÿ“‚ Library ๐Ÿ“… 1987 ๐Ÿ› Society for Industrial Mathematics ๐ŸŒ English

Many situations exist in which solutions to problems are represented as function space integrals. Such representations can be used to study the qualitative properties of the solutions and to evaluate them numerically using Monte Carlo methods. The emphasis in this book is on the behavior of solution

Large Deviations and Applications
๐Ÿ“ Large Deviations and Applications
โœ S. R. S. Varadhan ๐Ÿ“‚ Library ๐Ÿ“… 1987 ๐Ÿ› Society for Industrial Mathematics ๐ŸŒ English

Many situations exist in which solutions to problems are represented as function space integrals. Such representations can be used to study the qualitative properties of the solutions and to evaluate them numerically using Monte Carlo methods. The emphasis in this book is on the behavior of solution

Large Deviations Techniques and Applicat
๐Ÿ“ Large Deviations Techniques and Applications
โœ Amir Dembo, Ofer Zeitouni (auth.) ๐Ÿ“‚ Library ๐Ÿ“… 2010 ๐Ÿ› Springer-Verlag Berlin Heidelberg ๐ŸŒ English

<p><P>The theory of large deviations deals with the evaluation, for a family of probability measures parameterized by a real valued variable, of the probabilities of events which decay exponentially in the parameter. Originally developed in the context of statistical mechanics and of (random) dynami