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Refined Large Deviation Limit Theorems

study of results on large deviations in situations where Cramér's condition on the finiteness of exponential moments may not be satisfied;

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Refined Large Deviation Limit Theorems

study of results on large deviations in situations where Cramer's condition on the finiteness of exponential moments may not be satisfied;

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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

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

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On the Estimation of Multiple Random Integrals and U-Statistics

This work starts with the study of those limit theorems in probability theory for which classical methods do not work. In many cases some;

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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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Nonconventional Limit Theorems And Random Dynamics

The book is devoted to limit theorems for nonconventional sums and arrays. Asymptotic behavior of such sums were first studied in ergodic;

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Ergodic Behavior of Markov Processes

with complicated structure. The second part is devoted to the application of these methods to limit theorems for functionals of Markov;

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Limit Distributions for Sums of Independent Random Vectors

A comprehensive introduction to the central limit theory-from foundations to current research This volume provides an introduction to the;

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Large Deviations and Idempotent Probability

theory of large deviations. In fact, his work marked a turning point in the depth of our understanding of the connections between the large;

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Large Deviations and Idempotent Probability

theory of large deviations. In fact, his work marked a turning point in the depth of our understanding of the connections between the large;

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Measure and Probability

of large numbers, and central limit theorem. The book then discusses discrete time Markov chains, stationary distributions and limit theorems. The;

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Measure and Probability

of large numbers, and central limit theorem. The book then discusses discrete time Markov chains, stationary distributions and limit theorems. The;

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Spectral Theory Of Large Dimensional Random Matrices And Its Applications To Wireless Communications And Finance Statistics

obtained under finite moment conditions, such as the limiting spectral distributions of Wigner matrix and that of large dimensional sample;

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On Central Limit Theorems in Geometrical Probability

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On Central Limit Theorems in Geometrical Probability

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Functional Gaussian Approximation for Dependent Structures

theorems, including the functional central limit theorem and functional moderate deviation principle. The results point out large classes;

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Probability

This classic introduction to probability theory for beginning graduate students covers laws of large numbers, central limit theorems;

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Studies in the Theory of Random Processes

limit theorems for Markov processes. Specialists, researchers, and students in the field of probability will find it a source of important;

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Approximation Theorems of Mathematical Statistics

This paperback reprint of one of the best in the field covers a broad range of limit theorems useful in mathematical statistics, along with;

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The Limit Shape Problem for Ensembles of Young Diagrams

observed there in a large-scale limit. The focus is mainly on analyzing the interesting phenomenon that specific curves appear in the appropriate;

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Selected Works of C.C. Heyde

The fundamental limit theorems in probability in which he set out what he considered to be the two most important limit theorems in the modern;

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Random Evolutionary Systems - Asymptotic Properties and Large Deviations

large deviations. In Random Evolutionary Systems we consider these systems in terms of the operators that appear in the schemes of their;

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Stochastic Analysis & Applications

Rectangles; Total Occupation Times for Symmetric Stable Processes & Gaugeability; A Note on Limit Theorems for the Two-parameter Wiener Process.;

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Analysis and Approximation of Rare Events

proof of large deviation limits into the convergence of variational representations. These features are illustrated though their application to;

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Probability The Classical Limit Theorems

probability, via random walks, Brownian motion, the law of large numbers and the central limit theorem, to aspects of ergodic theorems, equilibrium;

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Probability

This lively introduction to measure-theoretic probability theory covers laws of large numbers, central limit theorems, random walks;

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