Stochastic Limit Theory

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Stochastic Limit Theory

Author : Arnold I. Davidson
Publisher : Oxford University Press
ISBN 13 : 0198774036
Total Pages : 562 pages
Book Rating : 4.1/5 (987 download)

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Book Synopsis Stochastic Limit Theory by : Arnold I. Davidson

Download or read book Stochastic Limit Theory written by Arnold I. Davidson and published by Oxford University Press. This book was released on 1994 with total page 562 pages. Available in PDF, EPUB and Kindle. Book excerpt: This major new econometrics text surveys recent developments in the rapidly expanding field of asymptotic distribution theory, with a special emphasis on the problems of time dependence and heterogeneity. Designed for econometricians and advanced students with limited mathematical training, the book clearly lays out the necessary math and probability theory and uses numerous examples to make its data useful and comprehensible. It also includes original new material from Davidson's own research on central limit theorems. About the Series Advanced Texts in Econometrics is a distinguished and rapidly expanding series in which leading econometricians assess recent developments in such areas as stochastic probability, panel and time series data analysis, modeling, and cointegration. In both hardback and affordable paperback, each volume explains the nature and applicability of a topic in greater depth than possible in introductory textbooks or single journal articles. Each definitive work is formatted to be as accessible and convenient for those who are not familiar with the detailed primary literature.

Stochastic Limit Theory

Author : James Davidson
Publisher : Oxford University Press
ISBN 13 : 0192658808
Total Pages : 808 pages
Book Rating : 4.1/5 (926 download)

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Book Synopsis Stochastic Limit Theory by : James Davidson

Download or read book Stochastic Limit Theory written by James Davidson and published by Oxford University Press. This book was released on 2021-11-04 with total page 808 pages. Available in PDF, EPUB and Kindle. Book excerpt: Stochastic Limit Theory, published in 1994, has become a standard reference in its field. Now reissued in a new edition, offering updated and improved results and an extended range of topics, Davidson surveys asymptotic (large-sample) distribution theory with applications to econometrics, with particular emphasis on the problems of time dependence and heterogeneity. The book is designed to be useful on two levels. First, as a textbook and reference work, giving definitions of the relevant mathematical concepts, statements, and proofs of the important results from the probability literature, and numerous examples; and second, as an account of recent work in the field of particular interest to econometricians. It is virtually self-contained, with all but the most basic technical prerequisites being explained in their context; mathematical topics include measure theory, integration, metric spaces, and topology, with applications to random variables, and an extended treatment of conditional probability. Other subjects treated include: stochastic processes, mixing processes, martingales, mixingales, and near-epoch dependence; the weak and strong laws of large numbers; weak convergence; and central limit theorems for nonstationary and dependent processes. The functional central limit theorem and its ramifications are covered in detail, including an account of the theoretical underpinnings (the weak convergence of measures on metric spaces), Brownian motion, the multivariate invariance principle, and convergence to stochastic integrals. This material 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 coverage of many topics, in particular the theory of convergence to alpha-stable limits of processes with infinite variance.

Limit Theorems for Stochastic Processes

Author : Jean Jacod
Publisher : Springer Science & Business Media
ISBN 13 : 3662025140
Total Pages : 620 pages
Book Rating : 4.6/5 (62 download)

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Book Synopsis Limit Theorems for Stochastic Processes by : Jean Jacod

Download or read book Limit Theorems for Stochastic Processes written by Jean Jacod and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 620 pages. Available in PDF, EPUB and Kindle. Book excerpt: Initially the theory of convergence in law of stochastic processes was developed quite independently from the theory of martingales, semimartingales and stochastic integrals. Apart from a few exceptions essentially concerning diffusion processes, it is only recently that the relation between the two theories has been thoroughly studied. The authors of this Grundlehren volume, two of the international leaders in the field, propose a systematic exposition of convergence in law for stochastic processes, from the point of view of semimartingale theory, with emphasis on results that are useful for mathematical theory and mathematical statistics. This leads them to develop in detail some particularly useful parts of the general theory of stochastic processes, such as martingale problems, and absolute continuity or contiguity results. The book contains an elementary introduction to the main topics: theory of martingales and stochastic integrales, Skorokhod topology, etc., as well as a large number of results which have never appeared in book form, and some entirely new results. It should be useful to the professional probabilist or mathematical statistician, and of interest also to graduate students.

Quantum Theory and Its Stochastic Limit

Author : Luigi Accardi
Publisher : Springer Science & Business Media
ISBN 13 : 3662049295
Total Pages : 485 pages
Book Rating : 4.6/5 (62 download)

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Book Synopsis Quantum Theory and Its Stochastic Limit by : Luigi Accardi

Download or read book Quantum Theory and Its Stochastic Limit written by Luigi Accardi and published by Springer Science & Business Media. This book was released on 2013-03-14 with total page 485 pages. Available in PDF, EPUB and Kindle. Book excerpt: Well suited as a textbook in the emerging field of stochastic limit, which is a new mathematical technique developed for solving nonlinear problems in quantum theory.

Stochastic Limit Theory

Author :
Publisher :
ISBN 13 :
Total Pages : 562 pages
Book Rating : 4.:/5 (475 download)

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Book Synopsis Stochastic Limit Theory by :

Download or read book Stochastic Limit Theory written by and published by . This book was released on 1994 with total page 562 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Stochastic Limit Theory

Author : James Davidson
Publisher :
ISBN 13 :
Total Pages : 562 pages
Book Rating : 4.:/5 (475 download)

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Book Synopsis Stochastic Limit Theory by : James Davidson

Download or read book Stochastic Limit Theory written by James Davidson and published by . This book was released on 1994 with total page 562 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Limit Theorems for Randomly Stopped Stochastic Processes

Author : Dmitriĭ Sergeevich Silʹvestrov
Publisher : Springer Science & Business Media
ISBN 13 : 9781852337773
Total Pages : 426 pages
Book Rating : 4.3/5 (377 download)

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Book Synopsis Limit Theorems for Randomly Stopped Stochastic Processes by : Dmitriĭ Sergeevich Silʹvestrov

Download or read book Limit Theorems for Randomly Stopped Stochastic Processes written by Dmitriĭ Sergeevich Silʹvestrov and published by Springer Science & Business Media. This book was released on 2004 with total page 426 pages. Available in PDF, EPUB and Kindle. Book excerpt: Limit theorems for stochastic processes are an important part of probability theory and mathematical statistics and one model that has attracted the attention of many researchers working in the area is that of limit theorems for randomly stopped stochastic processes.This volume is the first to present a state-of-the-art overview of this field, with many of the results published for the first time. It covers the general conditions as well as the basic applications of the theory, and it covers and demystifies the vast, and technically demanding, Russian literature in detail. A survey of the literature and an extended bibliography of works in the area are also provided.The coverage is thorough, streamlined and arranged according to difficulty for use as an upper-level text if required. It is an essential reference for theoretical and applied researchers in the fields of probability and statistics that will contribute to the continuing extensive studies in the area and remain relevant for years to come.

Stochastic-Process Limits

Author : Ward Whitt
Publisher : Springer Science & Business Media
ISBN 13 : 0387217487
Total Pages : 616 pages
Book Rating : 4.3/5 (872 download)

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Book Synopsis Stochastic-Process Limits by : Ward Whitt

Download or read book Stochastic-Process Limits written by Ward Whitt and published by Springer Science & Business Media. This book was released on 2006-04-11 with total page 616 pages. Available in PDF, EPUB and Kindle. Book excerpt: From the reviews: "The material is self-contained, but it is technical and a solid foundation in probability and queuing theory is beneficial to prospective readers. [... It] is intended to be accessible to those with less background. This book is a must to researchers and graduate students interested in these areas." ISI Short Book Reviews

Martingale Limit Theory and Its Application

Author : P. Hall
Publisher : Academic Press
ISBN 13 : 1483263223
Total Pages : 320 pages
Book Rating : 4.4/5 (832 download)

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Book Synopsis Martingale Limit Theory and Its Application by : P. Hall

Download or read book Martingale Limit Theory and Its Application written by P. Hall and published by Academic Press. This book was released on 2014-07-10 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: Martingale Limit Theory and Its Application discusses the asymptotic properties of martingales, particularly as regards key prototype of probabilistic behavior that has wide applications. The book explains the thesis that martingale theory is central to probability theory, and also examines the relationships between martingales and processes embeddable in or approximated by Brownian motion. The text reviews the martingale convergence theorem, the classical limit theory and analogs, and the martingale limit theorems viewed as the rate of convergence results in the martingale convergence theorem. The book explains the square function inequalities, weak law of large numbers, as well as the strong law of large numbers. The text discusses the reverse martingales, martingale tail sums, the invariance principles in the central limit theorem, and also the law of the iterated logarithm. The book investigates the limit theory for stationary processes via corresponding results for approximating martingales and the estimation of parameters from stochastic processes. The text can be profitably used as a reference for mathematicians, advanced students, and professors of higher mathematics or statistics.

Stochastic Limit Theory

Author :
Publisher :
ISBN 13 :
Total Pages : 539 pages
Book Rating : 4.:/5 (19 download)

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Book Synopsis Stochastic Limit Theory by :

Download or read book Stochastic Limit Theory written by and published by . This book was released on 2001 with total page 539 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Convergence of Stochastic Processes

Author : D. Pollard
Publisher : David Pollard
ISBN 13 : 0387909907
Total Pages : 223 pages
Book Rating : 4.3/5 (879 download)

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Book Synopsis Convergence of Stochastic Processes by : D. Pollard

Download or read book Convergence of Stochastic Processes written by D. Pollard and published by David Pollard. This book was released on 1984-10-08 with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt: Functionals on stochastic processes; Uniform convergence of empirical measures; Convergence in distribution in euclidean spaces; Convergence in distribution in metric spaces; The uniform metric on space of cadlag functions; The skorohod metric on D [0, oo); Central limit teorems; Martingales.

Limit Theorems for Markov Chains and Stochastic Properties of Dynamical Systems by Quasi-Compactness

Author : Hubert Hennion
Publisher : Springer Science & Business Media
ISBN 13 : 3540424156
Total Pages : 150 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Limit Theorems for Markov Chains and Stochastic Properties of Dynamical Systems by Quasi-Compactness by : Hubert Hennion

Download or read book Limit Theorems for Markov Chains and Stochastic Properties of Dynamical Systems by Quasi-Compactness written by Hubert Hennion and published by Springer Science & Business Media. This book was released on 2001-08 with total page 150 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book shows how techniques from the perturbation theory of operators, applied to a quasi-compact positive kernel, may be used to obtain limit theorems for Markov chains or to describe stochastic properties of dynamical systems. A general framework for this method is given and then applied to treat several specific cases. An essential element of this work is the description of the peripheral spectra of a quasi-compact Markov kernel and of its Fourier-Laplace perturbations. This is first done in the ergodic but non-mixing case. This work is extended by the second author to the non-ergodic case. The only prerequisites for this book are a knowledge of the basic techniques of probability theory and of notions of elementary functional analysis.

Stochastic Limit Theory

Author : James Davidson
Publisher : OUP Oxford
ISBN 13 : 0191525049
Total Pages : 566 pages
Book Rating : 4.1/5 (915 download)

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Book Synopsis Stochastic Limit Theory by : James Davidson

Download or read book Stochastic Limit Theory written by James Davidson and published by OUP Oxford. This book was released on 1994-10-13 with total page 566 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a survey of the recent developments in the rapidly expanding field of asymptotic distribution theory, with a special emphasis on the problems of time dependence and heterogeneity. The book is designed to be useful on two levels. First as a textbook and reference work, giving definitions of the relevant mathematical concepts, statements, and proofs of the important results from the probability literature, and numerous examples; and second, as an account of recent work in the field of particular interest to econometricians, including a number of important new results. It is virtually self-contained, with all but the most basic technical prerequisites being explained in their context; mathematical topics include measure theory, integration, metric spaces, and topology, with applications to random variables, and an extended treatment of conditional probability. Other subjects treated include: stochastic processes, mixing processes, martingales, mixingales, and near-epoch dependence; the weak and strong laws of large numbers; weak convergence; and central limit theorems for nonstationary and dependent processes. The functional central limit theorem and its ramifications are covered in detail, including an account of the theoretical underpinnings (the weak convergence of measures on metric spaces), Brownian motion, the multivariate invariance principle, and convergence to stochastic integrals. This material is of special relevance to the theory of cointegration.

Weak Convergence of Stochastic Processes

Author : Vidyadhar S. Mandrekar
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3110475456
Total Pages : 148 pages
Book Rating : 4.1/5 (14 download)

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Book Synopsis Weak Convergence of Stochastic Processes by : Vidyadhar S. Mandrekar

Download or read book Weak Convergence of Stochastic Processes written by Vidyadhar S. Mandrekar and published by Walter de Gruyter GmbH & Co KG. This book was released on 2016-09-26 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of this book is to present results on the subject of weak convergence in function spaces to study invariance principles in statistical applications to dependent random variables, U-statistics, censor data analysis. Different techniques, formerly available only in a broad range of literature, are for the first time presented here in a self-contained fashion. Contents: Weak convergence of stochastic processes Weak convergence in metric spaces Weak convergence on C[0, 1] and D[0,∞) Central limit theorem for semi-martingales and applications Central limit theorems for dependent random variables Empirical process Bibliography

A History of the Central Limit Theorem

Author : Hans Fischer
Publisher : Springer Science & Business Media
ISBN 13 : 0387878572
Total Pages : 402 pages
Book Rating : 4.3/5 (878 download)

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Book Synopsis A History of the Central Limit Theorem by : Hans Fischer

Download or read book A History of the Central Limit Theorem written by Hans Fischer and published by Springer Science & Business Media. This book was released on 2010-10-08 with total page 402 pages. Available in PDF, EPUB and Kindle. Book excerpt: This study discusses the history of the central limit theorem and related probabilistic limit theorems from about 1810 through 1950. In this context the book also describes the historical development of analytical probability theory and its tools, such as characteristic functions or moments. The central limit theorem was originally deduced by Laplace as a statement about approximations for the distributions of sums of independent random variables within the framework of classical probability, which focused upon specific problems and applications. Making this theorem an autonomous mathematical object was very important for the development of modern probability theory.

Stability Problems for Stochastic Models: Theory and Applications

Author : Alexander Zeifman
Publisher : MDPI
ISBN 13 : 3036504524
Total Pages : 370 pages
Book Rating : 4.0/5 (365 download)

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Book Synopsis Stability Problems for Stochastic Models: Theory and Applications by : Alexander Zeifman

Download or read book Stability Problems for Stochastic Models: Theory and Applications written by Alexander Zeifman and published by MDPI. This book was released on 2021-03-05 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: The aim of this Special Issue of Mathematics is to commemorate the outstanding Russian mathematician Vladimir Zolotarev, whose 90th birthday will be celebrated on February 27th, 2021. The present Special Issue contains a collection of new papers by participants in sessions of the International Seminar on Stability Problems for Stochastic Models founded by Zolotarev. Along with research in probability distributions theory, limit theorems of probability theory, stochastic processes, mathematical statistics, and queuing theory, this collection contains papers dealing with applications of stochastic models in modeling of pension schemes, modeling of extreme precipitation, construction of statistical indicators of scientific publication importance, and other fields.

Stochastic Models with Power-Law Tails

Author : Dariusz Buraczewski
Publisher : Springer
ISBN 13 : 3319296795
Total Pages : 320 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Stochastic Models with Power-Law Tails by : Dariusz Buraczewski

Download or read book Stochastic Models with Power-Law Tails written by Dariusz Buraczewski and published by Springer. This book was released on 2016-07-04 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this monograph the authors give a systematic approach to the probabilistic properties of the fixed point equation X=AX+B. A probabilistic study of the stochastic recurrence equation X_t=A_tX_{t-1}+B_t for real- and matrix-valued random variables A_t, where (A_t,B_t) constitute an iid sequence, is provided. The classical theory for these equations, including the existence and uniqueness of a stationary solution, the tail behavior with special emphasis on power law behavior, moments and support, is presented. The authors collect recent asymptotic results on extremes, point processes, partial sums (central limit theory with special emphasis on infinite variance stable limit theory), large deviations, in the univariate and multivariate cases, and they further touch on the related topics of smoothing transforms, regularly varying sequences and random iterative systems. The text gives an introduction to the Kesten-Goldie theory for stochastic recurrence equations of the type X_t=A_tX_{t-1}+B_t. It provides the classical results of Kesten, Goldie, Guivarc'h, and others, and gives an overview of recent results on the topic. It presents the state-of-the-art results in the field of affine stochastic recurrence equations and shows relations with non-affine recursions and multivariate regular variation.