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Hilbert And Banach Space-valued Stochastic Processes

of infinite-dimensional stationary and nonstationary stochastic processes or time series, based on Hilbert and Banach space-valued second order random;

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Functional Analysis for Probability and Stochastic Processes

stochastic processes. The subjects range from basic Hilbert and Banach spaces, through weak topologies and Banach algebras, to the theory;

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Functional Analysis For Probability And Stochastic Processes

stochastic processes. The subjects range from basic Hilbert and Banach spaces, through weak topologies and Banach algebras, to the theory;

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Encyclopedia of Mathematics and its Applications

including type and co-type of Banach spaces, B-convexity, super-reflexivity, the vector-valued Fourier transform, the vector-valued Hilbert;

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Encyclopedia of Mathematics and its Applications

including type and co-type of Banach spaces, B-convexity, super-reflexivity, the vector-valued Fourier transform, the vector-valued Hilbert;

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Vector Integration and Stochastic Integration in Banach Spaces

, including square integrable martingales in Hilbert spaces and processes with integrable variation or integrable semivariation in Banach spaces;

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Stochastic Equations in Infinite Dimensions

in infinite dimensional, typically Hilbert and Banach, spaces. In the first part the authors give a self-contained exposition of the basic properties;

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Stochastic Processes in Non-Archimedean Banach Spaces, Manifolds & Topological Groups

in stochastic processes with values in Banach spaces, manifolds and topological groups. Also discussed herein are random functions with values in Lie;

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Calkin Algebras and Algebras of Operators on Banach SPates

on a Hilbert space have also evolved, and Calkin Algebras andAlgebras of Operators on Banach Spaces provides an introduction to this set;

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Operator-Valued Measures, Dilations, and the Theory of Frames

The authors develop elements of a general dilation theory for operator-valued measures. Hilbert space operator-valued measures are closely;

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Hilbert Space Methods In Probability And Statistical Inference

Explains how Hilbert space techniques cross the boundaries into the foundations of probability and statistics. Focuses on the theory;

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Spectral Theory of Bounded Linear Operators

normal operators acting on Hilbert spaces; (ii) the Riesz-Dunford functional calculus for Banach-space operators; and (iii) the Fredholm theory;

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Spectral Theory of Bounded Linear Operators

normal operators acting on Hilbert spaces; (ii) the Riesz-Dunford functional calculus for Banach-space operators; and (iii) the Fredholm theory;

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Frechet Differentiability of Lipschitz Functions and Porous Sets in Banach Spaces (AM-179)

bridge between descriptive set theory and the classical topic of existence of derivatives of vector-valued Lipschitz functions. The topic;

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Non-Archimedean Linear Operators & Applications

-Archimedean Banach and Hilbert spaces. This includes, non-archimedean valued fields, bounded and unbounded linear operators, bilinear forms, functions;

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Non-Archimedean Linear Operators & Applications

-Archimedean Banach and Hilbert spaces. This includes, non-Archimedean valued fields, bounded and unbounded linear operators, bilinear forms, functions;

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Probability in Banach Spaces

theorems for vector valued random variables, boundedness and continuity of random processes) and of some of their links to Geometry of Banach;

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Stochastic Analysis for Gaussian Random Processes and Fields

Stochastic Analysis for Gaussian Random Processes and Fields: With Applications presents Hilbert space methods to study deep analytic;

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Stochastic Analysis for Gaussian Random Processes and Fields

Stochastic Analysis for Gaussian Random Processes and Fields: With Applications presents Hilbert space methods to study deep analytic;

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Functional Analysis

This book presents basic elements of the theory of Hilbert spaces and operators on Hilbert spaces, culminating in a proof of the spectral;

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Isometries in Banach Spaces

A continuation of the authors' previous book, Isometries on Banach Spaces: Vector-valued Function Spaces and Operator Spaces, Volume Two;

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Positivity and its Applications

on such spaces, abstract stochastic processes in an ordered setting, the theory and applications of positive semi-groups to partial;

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An Introduction to Nonlinear Analysis and Fixed Point Theory

theory, Banach and Hilbert spaces, locally convex topological vector spaces, and linear functional analysis.;

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Set-Valued Stochastic Integrals and Applications

, set-valued stochastic Lebesgue, and stochastic Aumann integrals, the volume is divided into nine parts. It begins with preliminaries;

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Set-Valued Stochastic Integrals and Applications

, set-valued stochastic Lebesgue, and stochastic Aumann integrals, the volume is divided into nine parts. It begins with preliminaries;

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Effective Dynamics of Stochastic Partial Differential Equations

to probability tools in Hilbert space and basics of stochastic partial differential equations Solutions or hints to all Exercises;

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Frechet Differentiability Of Lipschitz Functions And Porous

bridge between descriptive set theory and the classical topic of existence of derivatives of vector-valued Lipschitz functions. The topic;

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