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Gaussian Measures

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Release : 2015-01-26
Genre : Mathematics
Kind : eBook
Book Rating : 69X/5 ( reviews)

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Book Synopsis Gaussian Measures by : Vladimir I. Bogachev

Download or read book Gaussian Measures written by Vladimir I. Bogachev. This book was released on 2015-01-26. Available in PDF, EPUB and Kindle. Book excerpt: This book gives a systematic exposition of the modern theory of Gaussian measures. It presents with complete and detailed proofs fundamental facts about finite and infinite dimensional Gaussian distributions. Covered topics include linear properties, convexity, linear and nonlinear transformations, and applications to Gaussian and diffusion processes. Suitable for use as a graduate text and/or a reference work, this volume contains many examples, exercises, and an extensive bibliography. It brings together many results that have not appeared previously in book form.

Gaussian Measures in Banach Spaces

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Release : 2006-11-14
Genre : Mathematics
Kind : eBook
Book Rating : 082/5 ( reviews)

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Book Synopsis Gaussian Measures in Banach Spaces by : H.-H. Kuo

Download or read book Gaussian Measures in Banach Spaces written by H.-H. Kuo. This book was released on 2006-11-14. Available in PDF, EPUB and Kindle. Book excerpt:

Gaussian Measures in Hilbert Space

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Release : 2020-02-26
Genre : Mathematics
Kind : eBook
Book Rating : 675/5 ( reviews)

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Book Synopsis Gaussian Measures in Hilbert Space by : Alexander Kukush

Download or read book Gaussian Measures in Hilbert Space written by Alexander Kukush. This book was released on 2020-02-26. Available in PDF, EPUB and Kindle. Book excerpt: At the nexus of probability theory, geometry and statistics, a Gaussian measure is constructed on a Hilbert space in two ways: as a product measure and via a characteristic functional based on Minlos-Sazonov theorem. As such, it can be utilized for obtaining results for topological vector spaces. Gaussian Measures contains the proof for Ferniques theorem and its relation to exponential moments in Banach space. Furthermore, the fundamental Feldman-Hájek dichotomy for Gaussian measures in Hilbert space is investigated. Applications in statistics are also outlined. In addition to chapters devoted to measure theory, this book highlights problems related to Gaussian measures in Hilbert and Banach spaces. Borel probability measures are also addressed, with properties of characteristic functionals examined and a proof given based on the classical Banach–Steinhaus theorem. Gaussian Measures is suitable for graduate students, plus advanced undergraduate students in mathematics and statistics. It is also of interest to students in related fields from other disciplines. Results are presented as lemmas, theorems and corollaries, while all statements are proven. Each subsection ends with teaching problems, and a separate chapter contains detailed solutions to all the problems. With its student-tested approach, this book is a superb introduction to the theory of Gaussian measures on infinite-dimensional spaces.

Gaussian Measures in Finite and Infinite Dimensions

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Release : 2023-02-15
Genre : Mathematics
Kind : eBook
Book Rating : 228/5 ( reviews)

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Book Synopsis Gaussian Measures in Finite and Infinite Dimensions by : Daniel W. Stroock

Download or read book Gaussian Measures in Finite and Infinite Dimensions written by Daniel W. Stroock. This book was released on 2023-02-15. Available in PDF, EPUB and Kindle. Book excerpt: This text provides a concise introduction, suitable for a one-semester special topicscourse, to the remarkable properties of Gaussian measures on both finite and infinitedimensional spaces. It begins with a brief resumé of probabilistic results in which Fourieranalysis plays an essential role, and those results are then applied to derive a few basicfacts about Gaussian measures on finite dimensional spaces. In anticipation of the analysisof Gaussian measures on infinite dimensional spaces, particular attention is given to those/divproperties of Gaussian measures that are dimension independent, and Gaussian processesare constructed. The rest of the book is devoted to the study of Gaussian measures onBanach spaces. The perspective adopted is the one introduced by I. Segal and developedby L. Gross in which the Hilbert structure underlying the measure is emphasized.The contents of this book should be accessible to either undergraduate or graduate/divstudents who are interested in probability theory and have a solid background in Lebesgueintegration theory and a familiarity with basic functional analysis. Although the focus ison Gaussian measures, the book introduces its readers to techniques and ideas that haveapplications in other contexts.

Gaussian Random Functions

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Release : 2013-03-09
Genre : Mathematics
Kind : eBook
Book Rating : 745/5 ( reviews)

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Book Synopsis Gaussian Random Functions by : M.A. Lifshits

Download or read book Gaussian Random Functions written by M.A. Lifshits. This book was released on 2013-03-09. Available in PDF, EPUB and Kindle. Book excerpt: It is well known that the normal distribution is the most pleasant, one can even say, an exemplary object in the probability theory. It combines almost all conceivable nice properties that a distribution may ever have: symmetry, stability, indecomposability, a regular tail behavior, etc. Gaussian measures (the distributions of Gaussian random functions), as infinite-dimensional analogues of tht

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