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Large Deviations at Saint Flour

Contents: Azencott, R. : Large deviations and applications.- Freidlin, Mark I. Semi-linear PDE's and limit theorems for large deviations;

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Large Deviations Techniques and Applications

mechanics, and applied probability. Amir Dembo and Ofer Zeitouni, two of the leading researchers in the field, provide an introduction to the theory;

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Large Deviations

This volume offers an introduction to large deviations. It is divided into two parts: theory and applications. Basic large deviation;

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Large Deviations for Performance Analysis: Queues, Communication and Computing

in terms of length and in terms of difficulty. Within its scope, the treatment is detailed, comprehensive and self-contained. As the book shows;

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Large Deviations For Performance Analysis

in terms of length and in terms of difficulty. Within its scope, the treatment is detailed, comprehensive and self-contained. As the book shows;

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Large Deviations

) diffusions with small noise and the exit problem, (ii) large time behavior of Markov processes and their connection to the Feynman-Kac formula and;

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Large Deviations and Idempotent Probability

deviation principle (LDP) and well-known methods for establishing weak convergence results. Large Deviations and Idempotent Probability expounds;

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Large Deviations and Idempotent Probability

deviation principle (LDP) and well-known methods for establishing weak convergence results. Large Deviations and Idempotent Probability expounds;

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A Weak Convergence Approach to the Theory of Large Deviations

nonlinear nature of the theory contributes both to its richness and difficulty. This innovative text demonstrates how to employ the well-established;

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Refined Large Deviation Limit Theorems

This is a developing area of modern probability theory, which has applications in many areas. This v;...

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Refined Large Deviation Limit Theorems

This is a developing area of modern probability theory, which has applications in many areas. This v;...

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Stochastic Resonance

transition rates explained by large deviations techniques and show that these measures are robust. The book sheds some light on the shortcomings;

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Large Deviations for Gaussian Queues

Gaussian traffic model enables the analysis, in a single mathematical framework, of systems with both long-range and short-range dependent input;

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A Course on Large Deviations with an Introduction to Gibbs Measures

book combines large deviation theory with basic statistical mechanics, namely Gibbs measures with their variational characterization and the;

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Some Limit Theorems in Statistics

A discussion of some topics in the theory of large deviations such as moment-generating functions and Chernoff's theorem, and of aspects;

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Large Deviations and Metastability

The book provides a general introduction to the theory of large deviations and a wide overview of the metastable behaviour of stochastic;

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Bio-Inspired Algorithms in PID Controller Optimization

. Comparative studies to evaluate the performance of different optimization techniques in terms of the settling time, overshoot and undershoot responses;

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Bio-Inspired Algorithms in PID Controller Optimization

. Comparative studies to evaluate the performance of different optimization techniques in terms of the settling time, overshoot and undershoot responses;

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Random Evolutionary Systems - Asymptotic Properties and Large Deviations

parts, a good tool for analyzing and fitting models is the theory of random evolutionary systems, considering their asymptotic properties and;

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Hyperbolic Dynamics, Fluctuations and Large Deviations

This volume contains the proceedings of the semester long special program on Hyperbolic Dynamics, Large Deviations and Fluctuations, which;

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Average Case Analysis of Algorithms on Sequences

notably in data compression and computational molecular biology. It describes methods employed in average case analysis of algorithms, combining;

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Free Probability and Random Matrices

groups, quantum groups, the invariant subspace problem, large deviations, subfactors, and beyond. This book puts a special emphasis on the;

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Large Sample Techniques for Statistics

This book offers a comprehensive guide to large sample techniques in statistics. With a focus on developing analytical skills and;

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Stochastic Processes

This definitive textbook provides a solid introduction to discrete and continuous stochastic processes, tackling a complex field in a way;

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Self-Normalized Processes: Limit Theory and Statistical Applications

Self-normalized processes are of common occurrence in probabilistic and statistical studies. A prototypical example is Student's t;

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PerformanceBased Gear Metrology

A mathematically rigorous explanation of how manufacturing deviations and damage on the working surfaces of gear teeth cause transmission;

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Digital Optical Measurement Techniques And Applications

This new resource explains the principles and applications of today's digital optical measurement techniques. From start to finish, each;

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