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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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Ergodic Behavior of Markov Processes

The general topic of this book is the ergodic behavior of Markov processes. A detailed introduction to methods for proving ergodicity and;

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Limit Theorems for Stochastic Processes

This volume by two international leaders in the field proposes a systematic exposition of convergence in law for stochastic processes from;

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Introduction to Malliavin Calculus

motion and stochastic calculus, as well as Levy processes and stochastic calculus for jump processes. Accessible to non-experts, the book can be;

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Introduction to Malliavin Calculus

motion and stochastic calculus, as well as Levy processes and stochastic calculus for jump processes. Accessible to non-experts, the book can be;

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Stochastic Processes

) stochastic processes in random environments (especially limit theorems on the stochastic processes in one-dimensional random environments and their;

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Probability and Stochastic Processes for Physicists

mathematical tools. The discussion of limit theorems serves as a gateway to extensive coverage of the theory of stochastic processes, including, for;

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Probability and Stochastic Processes for Physicists

mathematical tools. The discussion of limit theorems serves as a gateway to extensive coverage of the theory of stochastic processes, including, for;

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Random Summation

. Special sections deal with doubling with repair, rarefaction of renewal processes, limit theorems for supercritical Galton-Watson processes;

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Random Summation

. Special sections deal with doubling with repair, rarefaction of renewal processes, limit theorems for supercritical Galton-Watson processes;

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Advanced Mathematical Tools for Automatic Control Engineers: Volume 2

time processes, including the concepts of random sequences, martingales, and limit theorems. Part III covers continuous time stochastic;

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Weak Convergence of Stochastic Processes

range of literature, are for the first time presented here in a self-contained fashion. Contents: Weak convergence of stochastic processes;

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Stochastic Geometry, Spatial Statistics and Random Fields: Asymptotic Methods

is focused on asymptotic methods in geometric probability including weak and strong limit theorems for random spatial structures (point processes;

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Multidimensional Stochastic Processes As Rough Paths

stochastic analysis (existence and limit theorems for stochastic flows, Freidlin-Wentzell theory, the Stroock-Varadhan support description) can be;

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Asymptotic Analysis of Unstable Solutions of Stochastic Differential Equations

in layered media. A fairly wide class of continuous Markov processes is obtained in the limit. It includes Markov processes with discontinuous;

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Asymptotic Analysis of Unstable Solutions of Stochastic Differential Equations

in layered media. A fairly wide class of continuous Markov processes is obtained in the limit. It includes Markov processes with discontinuous;

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Limit Theorems For Associated Random Fields And Related Systems

processes, random measures, stable distributions, Ising ferromagnets, interacting particle systems, stochastic differential equations, random graphs;

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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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Theory of Stochastic Processes

This book provides an introductory account of the mathematical analysis of stochastic processes. It is helpful for statisticians and;

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Stochastic Limit Theory

strong laws of large numbers; weak convergence; and central limit theorems for nonstationary and dependent processes. The functional central;

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Dynamics of Statistical Experiments

processes, which determine the dynamics of the predictable component. The method of stochastic approximation is used for classifying statistical;

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Probability Measures on Metric Spaces

alternative approach to the general theory of stochastic processes). After a general description of the basics of topology on the set of measures, he;

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Functional Gaussian Approximation for Dependent Structures

influence each another. It provides a better understanding of the structure and asymptotic behaviour of stochastic processes. Two approaches are;

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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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Limit Theorems For Nonlinear Cointegrating Regression

This book provides the limit theorems that can be used in the development of nonlinear cointegrating regression. The topics include weak;

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Selected Papers II

of probability theory, stochastic processes and mathematical biology are now, for the first time, available in English. The material is accompanied by;

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Selected Papers I

of probability theory, stochastic processes and mathematical biology are now, for the first time, available in English. The material is accompanied by;

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