Asymptotic Methods in Stochastics

Asymptotic Methods in Stochastics
Author: Lajos Horvath and Barbara Szyszkowicz
Publisher: American Mathematical Soc.
Total Pages: 552
Release:
Genre: Asymptotic expansions
ISBN: 9780821871485

Honoring over forty years of Miklos Csorgo's work in probability and statistics, this title shows the state of the research. This book covers such topics as: path properties of stochastic processes, weak convergence of random size sums, almost sure stability of weighted maxima, and procedures for detecting changes in statistical models.

Asymptotic Methods in the Theory of Stochastic Differential Equations

Asymptotic Methods in the Theory of Stochastic Differential Equations
Author: A. V. Skorokhod
Publisher: American Mathematical Soc.
Total Pages: 362
Release: 2009-01-07
Genre: Mathematics
ISBN: 9780821898253

Ergodic theorems: General ergodic theorems Densities for transition probabilities and resolvents for Markov solutions of stochastic differential equations Ergodic theorems for one-dimensional stochastic equations Ergodic theorems for solutions of stochastic equations in $R^d$ Asymptotic behavior of systems of stochastic equations containing a small parameter: Equations with a small right-hand side Processes with rapid switching Averaging over variables for systems of stochastic differential equations Stability. Linear systems: Stability of sample paths of homogeneous Markov processes Linear equations in $R^d$ and the stochastic semigroups connected with them. Stability Stability of solutions of stochastic differential equations Linear stochastic equations in Hilbert space. Stochastic semigroups. Stability: Linear equations with bounded coefficients Strong stochastic semigroups with second moments Stability Bibliography

Asymptotic Methods for the Fokker-Planck Equation and the Exit Problem in Applications

Asymptotic Methods for the Fokker-Planck Equation and the Exit Problem in Applications
Author: Johan Grasman
Publisher: Springer Science & Business Media
Total Pages: 242
Release: 1999-03-08
Genre: Mathematics
ISBN: 9783540644354

Asymptotic methods are of great importance for practical applications, especially in dealing with boundary value problems for small stochastic perturbations. This book deals with nonlinear dynamical systems perturbed by noise. It addresses problems in which noise leads to qualitative changes, escape from the attraction domain, or extinction in population dynamics. The most likely exit point and expected escape time are determined with singular perturbation methods for the corresponding Fokker-Planck equation. The authors indicate how their techniques relate to the Itô calculus applied to the Langevin equation. The book will be useful to researchers and graduate students.

Asymptotic and Analytic Methods in Stochastic Evolutionary Symptoms

Asymptotic and Analytic Methods in Stochastic Evolutionary Symptoms
Author: Dmitri Koroliouk
Publisher: John Wiley & Sons
Total Pages: 276
Release: 2023-07-26
Genre: Mathematics
ISBN: 139422947X

This book illustrates a number of asymptotic and analytic approaches applied for the study of random evolutionary systems, and considers typical problems for specific examples. In this case, constructive mathematical models of natural processes are used, which more realistically describe the trajectories of diffusion-type processes, rather than those of the Wiener process. We examine models where particles have some free distance between two consecutive collisions. At the same time, we investigate two cases: the Markov evolutionary system, where the time during which the particle moves towards some direction is distributed exponentially with intensity parameter λ; and the semi-Markov evolutionary system, with arbitrary distribution of the switching process. Thus, the models investigated here describe the motion of particles with a finite speed and the proposed random evolutionary process with characteristics of a natural physical process: free run and finite propagation speed. In the proposed models, the number of possible directions of evolution can be finite or infinite.

Stochastic Geometry, Spatial Statistics and Random Fields

Stochastic Geometry, Spatial Statistics and Random Fields
Author: Evgeny Spodarev
Publisher: Springer
Total Pages: 470
Release: 2013-02-11
Genre: Mathematics
ISBN: 3642333052

This volume provides a modern introduction to stochastic geometry, random fields and spatial statistics at a (post)graduate level. It is focused on asymptotic methods in geometric probability including weak and strong limit theorems for random spatial structures (point processes, sets, graphs, fields) with applications to statistics. Written as a contributed volume of lecture notes, it will be useful not only for students but also for lecturers and researchers interested in geometric probability and related subjects.

Theory and Applications of Stochastic Processes

Theory and Applications of Stochastic Processes
Author: Zeev Schuss
Publisher: Springer Science & Business Media
Total Pages: 486
Release: 2009-12-09
Genre: Mathematics
ISBN: 1441916059

Stochastic processes and diffusion theory are the mathematical underpinnings of many scientific disciplines, including statistical physics, physical chemistry, molecular biophysics, communications theory and many more. Many books, reviews and research articles have been published on this topic, from the purely mathematical to the most practical. This book offers an analytical approach to stochastic processes that are most common in the physical and life sciences, as well as in optimal control and in the theory of filltering of signals from noisy measurements. Its aim is to make probability theory in function space readily accessible to scientists trained in the traditional methods of applied mathematics, such as integral, ordinary, and partial differential equations and asymptotic methods, rather than in probability and measure theory.

Lectures on the Theory of Stochastic Processes

Lectures on the Theory of Stochastic Processes
Author: Anatolij V. Skorochod
Publisher: Walter de Gruyter GmbH & Co KG
Total Pages: 192
Release: 2019-01-14
Genre: Mathematics
ISBN: 3110618168

No detailed description available for "Lectures on the Theory of Stochastic Processes".

Asymptotic Methods in the Theory of Gaussian Processes and Fields

Asymptotic Methods in the Theory of Gaussian Processes and Fields
Author: Vladimir I. Piterbarg
Publisher: American Mathematical Soc.
Total Pages: 222
Release: 2012-03-28
Genre: Mathematics
ISBN: 0821883313

This book is devoted to a systematic analysis of asymptotic behavior of distributions of various typical functionals of Gaussian random variables and fields. The text begins with an extended introduction, which explains fundamental ideas and sketches the basic methods fully presented later in the book. Good approximate formulas and sharp estimates of the remainders are obtained for a large class of Gaussian and similar processes. The author devotes special attention to the development of asymptotic analysis methods, emphasizing the method of comparison, the double-sum method and the method of moments. The author has added an extended introduction and has significantly revised the text for this translation, particularly the material on the double-sum method.

Asymptotic Theory of Statistical Inference for Time Series

Asymptotic Theory of Statistical Inference for Time Series
Author: Masanobu Taniguchi
Publisher: Springer
Total Pages: 0
Release: 2012-10-23
Genre: Mathematics
ISBN: 9781461270287

The primary aim of this book is to provide modern statistical techniques and theory for stochastic processes. The stochastic processes mentioned here are not restricted to the usual AR, MA, and ARMA processes. A wide variety of stochastic processes, including non-Gaussian linear processes, long-memory processes, nonlinear processes, non-ergodic processes and diffusion processes are described. The authors discuss estimation and testing theory and many other relevant statistical methods and techniques.