The Convergence Of Moments In The Martingale Central Limit Theorem

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Martingale Limit Theory and Its Application

Author : P. Hall
Publisher : Academic Press
ISBN 13 : 1483263223
Total Pages : 321 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 321 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.

Martingale Approximation

Author : Yu. V. Borovskikh
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3110944685
Total Pages : 336 pages
Book Rating : 4.1/5 (19 download)

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Book Synopsis Martingale Approximation by : Yu. V. Borovskikh

Download or read book Martingale Approximation written by Yu. V. Borovskikh and published by Walter de Gruyter GmbH & Co KG. This book was released on 2019-01-14 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: No detailed description available for "Martingale Approximation".

A History of the Central Limit Theorem

Author : Hans Fischer
Publisher : Springer Science & Business Media
ISBN 13 : 0387878572
Total Pages : 415 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 415 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.

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.

Classical Potential Theory and Its Probabilistic Counterpart

Author : Joseph L. Doob
Publisher : Springer Science & Business Media
ISBN 13 : 9783540412069
Total Pages : 892 pages
Book Rating : 4.4/5 (12 download)

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Book Synopsis Classical Potential Theory and Its Probabilistic Counterpart by : Joseph L. Doob

Download or read book Classical Potential Theory and Its Probabilistic Counterpart written by Joseph L. Doob and published by Springer Science & Business Media. This book was released on 2001-01-12 with total page 892 pages. Available in PDF, EPUB and Kindle. Book excerpt: From the reviews: "Here is a momumental work by Doob, one of the masters, in which Part 1 develops the potential theory associated with Laplace's equation and the heat equation, and Part 2 develops those parts (martingales and Brownian motion) of stochastic process theory which are closely related to Part 1". --G.E.H. Reuter in Short Book Reviews (1985)

Probability

Author : Rick Durrett
Publisher : Cambridge University Press
ISBN 13 : 113949113X
Total Pages : pages
Book Rating : 4.1/5 (394 download)

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Book Synopsis Probability by : Rick Durrett

Download or read book Probability written by Rick Durrett and published by Cambridge University Press. This book was released on 2010-08-30 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This classic introduction to probability theory for beginning graduate students covers laws of large numbers, central limit theorems, random walks, martingales, Markov chains, ergodic theorems, and Brownian motion. It is a comprehensive treatment concentrating on the results that are the most useful for applications. Its philosophy is that the best way to learn probability is to see it in action, so there are 200 examples and 450 problems. The fourth edition begins with a short chapter on measure theory to orient readers new to the subject.

Stopped Random Walks

Author : Allan Gut
Publisher : Springer Science & Business Media
ISBN 13 : 1475719922
Total Pages : 208 pages
Book Rating : 4.4/5 (757 download)

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Book Synopsis Stopped Random Walks by : Allan Gut

Download or read book Stopped Random Walks written by Allan Gut and published by Springer Science & Business Media. This book was released on 2013-04-17 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: My first encounter with renewal theory and its extensions was in 1967/68 when I took a course in probability theory and stochastic processes, where the then recent book Stochastic Processes by Professor N.D. Prabhu was one of the requirements. Later, my teacher, Professor Carl-Gustav Esseen, gave me some problems in this area for a possible thesis, the result of which was Gut (1974a). Over the years I have, on and off, continued research in this field. During this time it has become clear that many limit theorems can be obtained with the aid of limit theorems for random walks indexed by families of positive, integer valued random variables, typically by families of stopping times. During the spring semester of 1984 Professor Prabhu visited Uppsala and very soon got me started on a book focusing on this aspect. I wish to thank him for getting me into this project, for his advice and suggestions, as well as his kindness and hospitality during my stay at Cornell in the spring of 1985. Throughout the writing of this book I have had immense help and support from Svante Janson. He has not only read, but scrutinized, every word and every formula of this and earlier versions of the manuscript. My gratitude to him for all the errors he found, for his perspicacious suggestions and remarks and, above all, for what his unusual personal as well as scientific generosity has meant to me cannot be expressed in words.

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.

Stable Convergence and Stable Limit Theorems

Author : Erich Häusler
Publisher : Springer
ISBN 13 : 331918329X
Total Pages : 231 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Stable Convergence and Stable Limit Theorems by : Erich Häusler

Download or read book Stable Convergence and Stable Limit Theorems written by Erich Häusler and published by Springer. This book was released on 2015-06-09 with total page 231 pages. Available in PDF, EPUB and Kindle. Book excerpt: The authors present a concise but complete exposition of the mathematical theory of stable convergence and give various applications in different areas of probability theory and mathematical statistics to illustrate the usefulness of this concept. Stable convergence holds in many limit theorems of probability theory and statistics – such as the classical central limit theorem – which are usually formulated in terms of convergence in distribution. Originated by Alfred Rényi, the notion of stable convergence is stronger than the classical weak convergence of probability measures. A variety of methods is described which can be used to establish this stronger stable convergence in many limit theorems which were originally formulated only in terms of weak convergence. Naturally, these stronger limit theorems have new and stronger consequences which should not be missed by neglecting the notion of stable convergence. The presentation will be accessible to researchers and advanced students at the master's level with a solid knowledge of measure theoretic probability.

Probability: A Graduate Course

Author : Allan Gut
Publisher : Springer Science & Business Media
ISBN 13 : 0387273328
Total Pages : 617 pages
Book Rating : 4.3/5 (872 download)

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Book Synopsis Probability: A Graduate Course by : Allan Gut

Download or read book Probability: A Graduate Course written by Allan Gut and published by Springer Science & Business Media. This book was released on 2006-03-16 with total page 617 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook on the theory of probability starts from the premise that rather than being a purely mathematical discipline, probability theory is an intimate companion of statistics. The book starts with the basic tools, and goes on to cover a number of subjects in detail, including chapters on inequalities, characteristic functions and convergence. This is followed by explanations of the three main subjects in probability: the law of large numbers, the central limit theorem, and the law of the iterated logarithm. After a discussion of generalizations and extensions, the book concludes with an extensive chapter on martingales.

NBS Special Publication

Author :
Publisher :
ISBN 13 :
Total Pages : 574 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis NBS Special Publication by :

Download or read book NBS Special Publication written by and published by . This book was released on 1970 with total page 574 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Large Sample Techniques for Statistics

Author : Jiming Jiang
Publisher : Springer Nature
ISBN 13 : 3030916952
Total Pages : 689 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Large Sample Techniques for Statistics by : Jiming Jiang

Download or read book Large Sample Techniques for Statistics written by Jiming Jiang and published by Springer Nature. This book was released on 2022-04-04 with total page 689 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a comprehensive guide to large sample techniques in statistics. With a focus on developing analytical skills and understanding motivation, Large Sample Techniques for Statistics begins with fundamental techniques, and connects theory and applications in engaging ways. The first five chapters review some of the basic techniques, such as the fundamental epsilon-delta arguments, Taylor expansion, different types of convergence, and inequalities. The next five chapters discuss limit theorems in specific situations of observational data. Each of the first ten chapters contains at least one section of case study. The last six chapters are devoted to special areas of applications. This new edition introduces a final chapter dedicated to random matrix theory, as well as expanded treatment of inequalities and mixed effects models. The book's case studies and applications-oriented chapters demonstrate how to use methods developed from large sample theory in real world situations. The book is supplemented by a large number of exercises, giving readers opportunity to practice what they have learned. Appendices provide context for matrix algebra and mathematical statistics. The Second Edition seeks to address new challenges in data science. This text is intended for a wide audience, ranging from senior undergraduate students to researchers with doctorates. A first course in mathematical statistics and a course in calculus are prerequisites..

Theory of Probability and Mathematical Statistics

Author :
Publisher :
ISBN 13 :
Total Pages : 760 pages
Book Rating : 4.:/5 (318 download)

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Book Synopsis Theory of Probability and Mathematical Statistics by :

Download or read book Theory of Probability and Mathematical Statistics written by and published by . This book was released on 1996 with total page 760 pages. Available in PDF, EPUB and Kindle. Book excerpt:

The Life and Times of the Central Limit Theorem

Author : William J. Adams
Publisher : American Mathematical Soc.
ISBN 13 : 0821848992
Total Pages : 218 pages
Book Rating : 4.8/5 (218 download)

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Book Synopsis The Life and Times of the Central Limit Theorem by : William J. Adams

Download or read book The Life and Times of the Central Limit Theorem written by William J. Adams and published by American Mathematical Soc.. This book was released on 2009-11-25 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: About the First Edition: The study of any topic becomes more meaningful if one also studies the historical development that resulted in the final theorem. ... This is an excellent book on mathematics in the making. --Philip Peak, The Mathematics Teacher, May, 1975 I find the book very interesting. It contains valuable information and useful references. It can be recommended not only to historians of science and mathematics but also to students of probability and statistics. --Wei-Ching Chang, Historica Mathematica, August, 1976 In the months since I wrote ... I have read it from cover to cover at least once and perused it here and there a number of times. I still find it a very interesting and worthwhile contribution to the history of probability and statistics. --Churchill Eisenhart, past president of the American Statistical Association, in a letter to the author, February 3, 1975 The name Central Limit Theorem covers a wide variety of results involving the determination of necessary and sufficient conditions under which sums of independent random variables, suitably standardized, have cumulative distribution functions close to the Gaussian distribution. As the name Central Limit Theorem suggests, it is a centerpiece of probability theory which also carries over to statistics. Part One of The Life and Times of the Central Limit Theorem, Second Edition traces its fascinating history from seeds sown by Jacob Bernoulli to use of integrals of $\exp (x^2)$ as an approximation tool, the development of the theory of errors of observation, problems in mathematical astronomy, the emergence of the hypothesis of elementary errors, the fundamental work of Laplace, and the emergence of an abstract Central Limit Theorem through the work of Chebyshev, Markov and Lyapunov. This closes the classical period of the life of the Central Limit Theorem, 1713-1901. The second part of the book includes papers by Feller and Le Cam, as well as comments by Doob, Trotter, and Pollard, describing the modern history of the Central Limit Theorem (1920-1937), in particular through contributions of Lindeberg, Cramer, Levy, and Feller. The Appendix to the book contains four fundamental papers by Lyapunov on the Central Limit Theorem, made available in English for the first time.

Hilbert Space Methods in Probability and Statistical Inference

Author : Christopher G. Small
Publisher : John Wiley & Sons
ISBN 13 : 1118165535
Total Pages : 268 pages
Book Rating : 4.1/5 (181 download)

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Book Synopsis Hilbert Space Methods in Probability and Statistical Inference by : Christopher G. Small

Download or read book Hilbert Space Methods in Probability and Statistical Inference written by Christopher G. Small and published by John Wiley & Sons. This book was released on 2011-09-15 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explains how Hilbert space techniques cross the boundaries into the foundations of probability and statistics. Focuses on the theory of martingales stochastic integration, interpolation and density estimation. Includes a copious amount of problems and examples.

Branching Processes

Author : Asmussen
Publisher : Springer Science & Business Media
ISBN 13 : 1461581559
Total Pages : 468 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Branching Processes by : Asmussen

Download or read book Branching Processes written by Asmussen and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 468 pages. Available in PDF, EPUB and Kindle. Book excerpt: Branching processes form one of the classical fields of applied probability and are still an active area of research. The field has by now grown so large and diverse that a complete and unified treat ment is hardly possible anymore, let alone in one volume. So, our aim here has been to single out some of the more recent developments and to present them with sufficient background material to obtain a largely self-contained treatment intended to supplement previous mo nographs rather than to overlap them. The body of the text is divided into four parts, each of its own flavor. Part A is a short introduction, stressing examples and applications. In Part B we give a self-contained and up-to-date pre sentation of the classical limit theory of simple branching processes, viz. the Gal ton-Watson ( Bienayme-G-W) process and i ts continuous time analogue. Part C deals with the limit theory of Il!arkov branching processes with a general set of types under conditions tailored to (multigroup) branching diffusions on bounded domains, a setting which also covers the ordinary multitype case. Whereas the point of view in Parts A and B is quite pedagogical, the aim of Part C is to treat a large subfield to the highest degree of generality and completeness possi"ble. Thus the exposition there is at times quite technical.

Handbook of the Normal Distribution, Second Edition

Author : Jagdish K. Patel
Publisher : CRC Press
ISBN 13 : 9780824793425
Total Pages : 452 pages
Book Rating : 4.7/5 (934 download)

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Book Synopsis Handbook of the Normal Distribution, Second Edition by : Jagdish K. Patel

Download or read book Handbook of the Normal Distribution, Second Edition written by Jagdish K. Patel and published by CRC Press. This book was released on 1996-01-16 with total page 452 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Traces the historical development of the normal law. Second Edition offers a comprehensive treatment of the bivariate normal distribution--presenting entirely new material on normal integrals, asymptotic normality, the asymptotic properties of order statistics, and point estimation and statistical intervals."