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Author: Yu.V. Prokhorov
Publisher: Springer Science & Business Media
ISBN: 3662041723
Category : Mathematics
Languages : en
Pages : 280
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Book Description
A collection of research level surveys on certain topics in probability theory by a well-known group of researchers. The book will be of interest to graduate students and researchers.
Author: Yu.V. Prokhorov
Publisher: Springer Science & Business Media
ISBN: 3662041723
Category : Mathematics
Languages : en
Pages : 280
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Book Description
A collection of research level surveys on certain topics in probability theory by a well-known group of researchers. The book will be of interest to graduate students and researchers.
Author: Hans Fischer
Publisher: Springer Science & Business Media
ISBN: 0387878572
Category : Mathematics
Languages : en
Pages : 402
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Book Description
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.
Author: Henry McKean
Publisher: Cambridge University Press
ISBN: 131606249X
Category : Mathematics
Languages : en
Pages : 487
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Book Description
Probability theory has been extraordinarily successful at describing a variety of phenomena, from the behaviour of gases to the transmission of messages, and is, besides, a powerful tool with applications throughout mathematics. At its heart are a number of concepts familiar in one guise or another to many: Gauss' bell-shaped curve, the law of averages, and so on, concepts that crop up in so many settings they are in some sense universal. This universality is predicted by probability theory to a remarkable degree. This book explains that theory and investigates its ramifications. Assuming a good working knowledge of basic analysis, real and complex, the author maps out a route from basic probability, via random walks, Brownian motion, the law of large numbers and the central limit theorem, to aspects of ergodic theorems, equilibrium and nonequilibrium statistical mechanics, communication over a noisy channel, and random matrices. Numerous examples and exercises enrich the text.
Author: Emmanuel Lesigne
Publisher: American Mathematical Soc.
ISBN: 0821837141
Category : Limit theorems
Languages : en
Pages : 162
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Book Description
Everyone knows some of the basics of probability, perhaps enough to play cards. Beyond the introductory ideas, there are many wonderful results that are unfamiliar to the layman, but which are well within our grasp to understand and appreciate. Some of the most remarkable results in probability are those that are related to limit theorems--statements about what happens when the trial is repeated many times. The most famous of these is the Law of Large Numbers, which mathematicians,engineers, economists, and many others use every day. In this book, Lesigne has made these limit theorems accessible by stating everything in terms of a game of tossing of a coin: heads or tails. In this way, the analysis becomes much clearer, helping establish the reader's intuition aboutprobability. Moreover, very little generality is lost, as many situations can be modelled from combinations of coin tosses. This book is suitable for anyone who would like to learn more about mathematical probability and has had a one-year undergraduate course in analysis.
Author: Rick Durrett
Publisher: Cambridge University Press
ISBN: 113949113X
Category : Mathematics
Languages : en
Pages :
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Book Description
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.
Author: I. Berkes
Publisher: North Holland
ISBN:
Category : Mathematics
Languages : en
Pages : 572
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Book Description
Author: Peter Eichelsbacher
Publisher: Springer Science & Business Media
ISBN: 3642360688
Category : Mathematics
Languages : en
Pages : 317
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Book Description
Limit theorems and asymptotic results form a central topic in probability theory and mathematical statistics. New and non-classical limit theorems have been discovered for processes in random environments, especially in connection with random matrix theory and free probability. These questions and the techniques for answering them combine asymptotic enumerative combinatorics, particle systems and approximation theory, and are important for new approaches in geometric and metric number theory as well. Thus, the contributions in this book include a wide range of applications with surprising connections ranging from longest common subsequences for words, permutation groups, random matrices and free probability to entropy problems and metric number theory. The book is the product of a conference that took place in August 2011 in Bielefeld, Germany to celebrate the 60th birthday of Friedrich Götze, a noted expert in this field.
Author: Pál Révész
Publisher: North-Holland
ISBN:
Category : Limit theorems (Probability theory)
Languages : en
Pages : 432
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Book Description
Limit laws for order statistics; Some notes on the law of the iterated logarithm for empirical distribution function; Some notes on the empirical distribution function and the quantile process; Law of large numbers for Markov chains homogeneous in time and in the second component; Learning from an ergodic training sequence; Around the Glivenko - Cantelli theorem; Gauss distributions and central limit theorem for locally compact groups; Limit problems on topological stochastic groups and bohr compactification; Weak convergence and embedding; The method of perturbation on the spectrum of linear operators in asymptotic problems of probability theory; Equivalence-orthogonality dichotomies of probability measures; On some asymptotical properties of recursive estimates; On the properties of the recursive estimates for a functional of an unknown distribution function; Some functional laws of the iterated logarithm for dependent random variables.
Author:
Publisher:
ISBN: 9814474576
Category :
Languages : en
Pages :
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Book Description
Author: Valentin V. Petrov
Publisher:
ISBN:
Category :
Languages : en
Pages : 292
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Book Description
