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A Weak Convergence Approach to the Theory of Large Deviations

linear techniques of weak convergence theory to prove large deviation results. Beginning with a step-by-step development of the approach, the;

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Large Deviations and Idempotent Probability

Idempotent Probability offers an outstanding opportunity to examine both the development of a remarkable approach and recently discovered results as;

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Large Deviations and Idempotent Probability

Idempotent Probability offers an outstanding opportunity to examine both the development of a remarkable approach and recently discovered results as;

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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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A Course on Large Deviations with an Introduction to Gibbs Measures

phase transition of the Ising model, in a text intended for a one semester or quarter course. The book begins with a straightforward approach to;

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Approximation & Weak Convergence Methods For Random Processes With Applications

applicable to a wide variety of limit and approximation problems. The theory of weak convergence of probability measures is introduced along with;

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Large Deviations

The theory of large deviations deals with rates at which probabilities of certain events decay as a natural parameter in the problem varies;

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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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Weak Convergence And Its Applications

method. In this book, we will introduce some recent development of modern weak convergence theory to overcome defects of classical theory.;

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Stochastic Limit Theory

is of special relevance to the theory of cointegration. The new edition gives updated and improved versions of many of the results and extends the;

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Convergence of Probability Measures

straightforward approach and reader-friendly style, Dr. Billingsley presents a clear, precise, up-to-date account of probability limit theory in metric;

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Stochastic Resonance

and strengths of different concepts used in the theory and applications of stochastic resonance without attempting to give a comprehensive;

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Limit Theorems For Nonlinear Cointegrating Regression

convergence to a local time process, weak convergence to a mixture of normal distributions and weak convergence to stochastic integrals. This book;

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Large Deviations

is to expose the unified theme that gives large deviation theory its overall structure, which can be made to work in many concrete cases. The;

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Weak Convergence of Financial Markets

A comprehensive overview of weak convergence of stochastic processes and its application to the study of financial markets. Split into;

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Random Evolutionary Systems - Asymptotic Properties and Large Deviations

diffusion and the Poisson approximation. Such an approach allows us to obtain a number of limit theorems and asymptotic expansions of processes that;

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Weak Convergence of Stochastic Processes

The purpose of this book is to present results on the subject of weak convergence in function spaces to study invariance principles;

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Convergence Foundations Of Topology

This textbook is an alternative to a classical introductory book in point-set topology. The approach, however, is radically different from;

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Convergence Foundations Of Topology

This textbook is an alternative to a classical introductory book in point-set topology. The approach, however, is radically different from;

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Large Deviations For Performance Analysis

theory of large deviations from the beginning, through recent results on the theory for processes with boundaries, keeping to a very narrow path;

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Large Deviations for Performance Analysis: Queues, Communication and Computing

theory of large deviations from the beginning, through recent results on the theory for processes with boundaries, keeping to a very narrow path;

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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 volume is devoted to the systematic;

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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 volume is devoted to the systematic;

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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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An Introduction to Measure and Probability

weak convergence. This is a technically complete, self-contained and rigorous approach that helps the reader to develop basic skills;

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Hyperbolic Dynamics, Fluctuations and Large Deviations

and probability theories, and some areas of mathematical physics. The results of this study have had a profound effect on many different areas;

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Large Deviations for Random Graphs

-contained and doing away with the need to look up external references. Further, the book is written in a format and style that are accessible for;

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