Random Probability Measures on Polish Spaces

Random Probability Measures on Polish Spaces PDF Author: Hans Crauel
Publisher: CRC Press
ISBN: 9780203219119
Category : Mathematics
Languages : en
Pages : 138

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Book Description
In this monograph the narrow topology on random probability measures on Polish spaces is investigated in a thorough and comprehensive way. As a special feature, no additional assumptions on the probability space in the background, such as completeness or a countable generated algebra, are made. One of the main results is a direct proof of the rando

Random Probability Measures on Polish Spaces

Random Probability Measures on Polish Spaces PDF Author: Hans Crauel
Publisher: CRC Press
ISBN: 9780203219119
Category : Mathematics
Languages : en
Pages : 138

Get Book

Book Description
In this monograph the narrow topology on random probability measures on Polish spaces is investigated in a thorough and comprehensive way. As a special feature, no additional assumptions on the probability space in the background, such as completeness or a countable generated algebra, are made. One of the main results is a direct proof of the rando

Mathematics of Two-Dimensional Turbulence

Mathematics of Two-Dimensional Turbulence PDF Author: Sergej B. Kuksin
Publisher: Cambridge University Press
ISBN: 1107022827
Category : Mathematics
Languages : en
Pages : 337

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Book Description
Presents recent progress in two-dimensional mathematical hydrodynamics, including rigorous results on turbulence in space-periodic fluid flows.

Probability, Random Processes, and Ergodic Properties

Probability, Random Processes, and Ergodic Properties PDF Author: Robert M. Gray
Publisher: Springer Science & Business Media
ISBN: 1475720246
Category : Mathematics
Languages : en
Pages : 309

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Book Description
This book has been written for several reasons, not all of which are academic. This material was for many years the first half of a book in progress on information and ergodic theory. The intent was and is to provide a reasonably self-contained advanced treatment of measure theory, prob ability theory, and the theory of discrete time random processes with an emphasis on general alphabets and on ergodic and stationary properties of random processes that might be neither ergodic nor stationary. The intended audience was mathematically inc1ined engineering graduate students and visiting scholars who had not had formal courses in measure theoretic probability . Much of the material is familiar stuff for mathematicians, but many of the topics and results have not previously appeared in books. The original project grew too large and the first part contained much that would likely bore mathematicians and dis courage them from the second part. Hence I finally followed the suggestion to separate the material and split the project in two. The original justification for the present manuscript was the pragmatic one that it would be a shame to waste all the effort thus far expended. A more idealistic motivation was that the presentation bad merit as filling a unique, albeit smaIl, hole in the literature.

A Modern Approach to Probability Theory

A Modern Approach to Probability Theory PDF Author: Bert E. Fristedt
Publisher: Springer Science & Business Media
ISBN: 1489928375
Category : Mathematics
Languages : en
Pages : 775

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Book Description
Students and teachers of mathematics and related fields will find this book a comprehensive and modern approach to probability theory, providing the background and techniques to go from the beginning graduate level to the point of specialization in research areas of current interest. The book is designed for a two- or three-semester course, assuming only courses in undergraduate real analysis or rigorous advanced calculus, and some elementary linear algebra. A variety of applications—Bayesian statistics, financial mathematics, information theory, tomography, and signal processing—appear as threads to both enhance the understanding of the relevant mathematics and motivate students whose main interests are outside of pure areas.

Probability Space

Probability Space PDF Author: Nancy Kress
Publisher: Macmillan
ISBN: 9780765345141
Category : Fiction
Languages : en
Pages : 372

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Book Description
Nancy Kress cemented her reputation in SF with the publication of her multiple-award–winning novella, “Beggars in Spain,” which became the basis for her extremely successful Beggars Trilogy (comprising Beggars in Spain, Beggars and Choosers, and Beggars Ride). And now she brings us Probability Space, the conclusion of the trilogy that began with Probability Moon and then Probability Sun, which is centered on the same world as Kress’s Nebula Award-winning novelette, “Flowers of Aulit Prison.” The Probability Trilogy has already been widely recognized as the next great work by this important SF writer. In Probability Space, humanity’s war with the alien Fallers continues, and it is a war we are losing. Our implacable foes ignore all attempts at communication, and they take no prisoners. Our only hope lies with an unlikely coalition: Major Lyle Kaufman, retired warrior; Marbet Grant, the Sensitive who’s involved with Kaufman; Amanda, a very confused fourteen-year-old girl; and Magdalena, one of the biggest power brokers in all of human space. As the action moves from Earth to Mars to the farthest reaches of known space, with civil unrest back home and alien war in deep space, four humans--armed with little more than an unproven theory--try to enter the Fallers’ home star system. It’s a desperate gamble, and the fate of the entire universe may hang in the balance.

An Invitation to Statistics in Wasserstein Space

An Invitation to Statistics in Wasserstein Space PDF Author: Victor M. Panaretos
Publisher: Springer Nature
ISBN: 3030384381
Category : Mathematics
Languages : en
Pages : 157

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Book Description
This open access book presents the key aspects of statistics in Wasserstein spaces, i.e. statistics in the space of probability measures when endowed with the geometry of optimal transportation. Further to reviewing state-of-the-art aspects, it also provides an accessible introduction to the fundamentals of this current topic, as well as an overview that will serve as an invitation and catalyst for further research. Statistics in Wasserstein spaces represents an emerging topic in mathematical statistics, situated at the interface between functional data analysis (where the data are functions, thus lying in infinite dimensional Hilbert space) and non-Euclidean statistics (where the data satisfy nonlinear constraints, thus lying on non-Euclidean manifolds). The Wasserstein space provides the natural mathematical formalism to describe data collections that are best modeled as random measures on Euclidean space (e.g. images and point processes). Such random measures carry the infinite dimensional traits of functional data, but are intrinsically nonlinear due to positivity and integrability restrictions. Indeed, their dominating statistical variation arises through random deformations of an underlying template, a theme that is pursued in depth in this monograph.

Stable Convergence and Stable Limit Theorems

Stable Convergence and Stable Limit Theorems PDF Author: Erich Häusler
Publisher: Springer
ISBN: 331918329X
Category : Mathematics
Languages : en
Pages : 228

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Book Description
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.

Advances in Disordered Systems, Random Processes and Some Applications

Advances in Disordered Systems, Random Processes and Some Applications PDF Author: Pierluigi Contucci
Publisher: Cambridge University Press
ISBN: 1107124107
Category : Science
Languages : en
Pages : 383

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Book Description
This book offers a unified perspective on the study of complex systems with contributions written by leading scientists from various disciplines, including mathematics, physics, computer science, biology, economics and social science. It is written for researchers from a broad range of scientific fields with an interest in recent developments in complex systems.

The Poisson-Dirichlet Distribution and Related Topics

The Poisson-Dirichlet Distribution and Related Topics PDF Author: Shui Feng
Publisher: Springer Science & Business Media
ISBN: 3642111947
Category : Mathematics
Languages : en
Pages : 218

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Book Description
Presenting a comprehensive study of the Poisson-Dirichlet distribution, this volume emphasizes recent progress in evolutionary dynamics and asymptotic behaviors. The self-contained text presents methods and techniques that appeal to researchers in a wide variety of subjects.

Probabilistic Symmetries and Invariance Principles

Probabilistic Symmetries and Invariance Principles PDF Author: Olav Kallenberg
Publisher: Springer Science & Business Media
ISBN: 0387288619
Category : Mathematics
Languages : en
Pages : 520

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Book Description
"This is the first comprehensive treatment of the three basic symmetries of probability theory - contractability, exchangeability, and rotatability - defined as invariance in distribution under contractions, permutations, and rotations. Most chapters require only some basic, graduate level probability theory, and should be accessible to any serious researchers and graduate students in probability and statistics. Parts of the book may also be of interest to pure and applied mathematicians in other areas. The exposition is formally self-contained, with detailed references provided for any deeper facts from real analysis or probability used in the book."--Jacket.