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Hilbert And Banach Spacevalued Stochastic Processes 1st Edition Yichir Kakihara

  • SKU: BELL-34808950
Hilbert And Banach Spacevalued Stochastic Processes 1st Edition Yichir Kakihara
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Hilbert And Banach Spacevalued Stochastic Processes 1st Edition Yichir Kakihara instant download after payment.

Publisher: World Scientific, World Scientific Publishing Co. Pte. Ltd.
File Extension: PDF
File size: 7.5 MB
Pages: 539
Author: Yûichirô Kakihara
ISBN: 9789811211744, 9789811211751, 9789811211768, 9811211744, 9811211752, 9811211760, 2020048414, B09C28YZWD
Language: English
Year: 2021
Edition: 1
Volume: 13

Product desciption

Hilbert And Banach Spacevalued Stochastic Processes 1st Edition Yichir Kakihara by Yûichirô Kakihara 9789811211744, 9789811211751, 9789811211768, 9811211744, 9811211752, 9811211760, 2020048414, B09C28YZWD instant download after payment.

Main subject categories: • Stochastic processes • Hilbert space • Banach spaces ‒ Radon-Nikodym property • Functional analysis • Probability • Statistics • Analysis

This is a development of the book entitled Multidimensional Second Order Stochastic Processes. It provides a research expository treatment of infinite-dimensional stationary and nonstationary stochastic processes or time series, based on Hilbert and Banach space-valued second order random variables. Stochastic measures and scalar or operator bimeasures are fully discussed to develop integral representations of various classes of nonstationary processes such as harmonizable, V-bounded, Cramér and Karhunen classes as well as the stationary class. A new type of the Radon–Nikodým derivative of a Banach space-valued measure is introduced, together with Schauder basic measures, to study uniformly bounded linearly stationary processes.
Emphasis is on the use of functional analysis and harmonic analysis as well as probability theory. Applications are made from the probabilistic and statistical points of view to prediction problems, Kalman filter, sampling theorems and strong laws of large numbers. Generalizations are made to consider Banach space-valued stochastic processes to include processes of pth order for p ≥ 1. Readers may find that the covariance kernel is always emphasized and reveals another aspect of stochastic processes.
This book is intended not only for probabilists and statisticians, but also for functional analysts and communication engineers.

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