Martingales In Banach Spaces

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Martingales In Banach Spaces
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Author : Gilles Pisier
language : en
Publisher: Cambridge University Press
Release Date : 2016-06-06
Martingales In Banach Spaces written by Gilles Pisier and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-06-06 with Mathematics categories.
This book focuses on applications of martingales to the geometry of Banach spaces, and is accessible to graduate students.
Analysis In Banach Spaces
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Author : Tuomas Hytönen
language : en
Publisher: Springer
Release Date : 2016-11-26
Analysis In Banach Spaces written by Tuomas Hytönen and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-26 with Mathematics categories.
The present volume develops the theory of integration in Banach spaces, martingales and UMD spaces, and culminates in a treatment of the Hilbert transform, Littlewood-Paley theory and the vector-valued Mihlin multiplier theorem. Over the past fifteen years, motivated by regularity problems in evolution equations, there has been tremendous progress in the analysis of Banach space-valued functions and processes. The contents of this extensive and powerful toolbox have been mostly scattered around in research papers and lecture notes. Collecting this diverse body of material into a unified and accessible presentation fills a gap in the existing literature. The principal audience that we have in mind consists of researchers who need and use Analysis in Banach Spaces as a tool for studying problems in partial differential equations, harmonic analysis, and stochastic analysis. Self-contained and offering complete proofs, this work is accessible to graduate students and researchers with a background in functional analysis or related areas.
Martingales In Banach Spaces
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Author : James C. Crabtree
language : en
Publisher:
Release Date : 1977
Martingales In Banach Spaces written by James C. Crabtree and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1977 with Banach spaces categories.
Martingales In Banach Spaces With Schauder Bases
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Author : Dhandapani Kannan
language : en
Publisher:
Release Date : 1973
Martingales In Banach Spaces With Schauder Bases written by Dhandapani Kannan and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1973 with categories.
Hardy Martingales
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Author : Paul F. X. Müller
language : en
Publisher: Cambridge University Press
Release Date : 2022-07-14
Hardy Martingales written by Paul F. X. Müller and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-14 with Mathematics categories.
This book presents the probabilistic methods around Hardy martingales for applications to complex, harmonic, and functional analysis.
Martingale Theory In Harmonic Analysis And Banach Spaces
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Author : J.-A. Chao
language : en
Publisher: Springer
Release Date : 2006-11-17
Martingale Theory In Harmonic Analysis And Banach Spaces written by J.-A. Chao and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-11-17 with Mathematics categories.
Martingale Approximation
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Author : Yu. V. Borovskikh
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2019-01-14
Martingale Approximation written by Yu. V. Borovskikh and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-14 with Mathematics categories.
No detailed description available for "Martingale Approximation".
Geometry And Martingales In Banach Spaces
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Author : Wojbor A. Woyczynski
language : en
Publisher: CRC Press
Release Date : 2018-10-12
Geometry And Martingales In Banach Spaces written by Wojbor A. Woyczynski and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-12 with Mathematics categories.
Geometry and Martingales in Banach Spaces provides a compact exposition of the results explaining the interrelations existing between the metric geometry of Banach spaces and the theory of martingales, and general random vectors with values in those Banach spaces. Geometric concepts such as dentability, uniform smoothness, uniform convexity, Beck convexity, etc. turn out to characterize asymptotic behavior of martingales with values in Banach spaces.
Martingale Theory In Harmonic Analysis And Banach Spaces
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Author :
language : en
Publisher:
Release Date :
Martingale Theory In Harmonic Analysis And Banach Spaces written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Soft Methods For Integrated Uncertainty Modelling
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Author : Jonathan Lawry
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-10-08
Soft Methods For Integrated Uncertainty Modelling written by Jonathan Lawry and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-10-08 with Computers categories.
The idea of soft computing emerged in the early 1990s from the fuzzy systems c- munity, and refers to an understanding that the uncertainty, imprecision and ig- rance present in a problem should be explicitly represented and possibly even - ploited rather than either eliminated or ignored in computations. For instance, Zadeh de?ned ‘Soft Computing’ as follows: Soft computing differs from conventional (hard) computing in that, unlike hard computing, it is tolerant of imprecision, uncertainty and partial truth. In effect, the role model for soft computing is the human mind. Recently soft computing has, to some extent, become synonymous with a hybrid approach combining AI techniques including fuzzy systems, neural networks, and biologically inspired methods such as genetic algorithms. Here, however, we adopt a more straightforward de?nition consistent with the original concept. Hence, soft methods are understood as those uncertainty formalisms not part of mainstream s- tistics and probability theory which have typically been developed within the AI and decisionanalysiscommunity.Thesearemathematicallysounduncertaintymodelling methodologies which are complementary to conventional statistics and probability theory.