Random Series and Stochastic Integrals: Single and Multiple: Single and Multiple

Author:   Stanislaw Kwapien ,  Wojbor Woyczynski
Publisher:   Birkhauser Boston Inc
Edition:   1st ed. 1992. 2nd printing 2000
ISBN:  

9780817641986


Pages:   360
Publication Date:   11 May 2000
Format:   Paperback
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Random Series and Stochastic Integrals: Single and Multiple: Single and Multiple


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Author:   Stanislaw Kwapien ,  Wojbor Woyczynski
Publisher:   Birkhauser Boston Inc
Imprint:   Birkhauser Boston Inc
Edition:   1st ed. 1992. 2nd printing 2000
Dimensions:   Width: 15.50cm , Height: 1.90cm , Length: 23.50cm
Weight:   1.170kg
ISBN:  

9780817641986


ISBN 10:   081764198
Pages:   360
Publication Date:   11 May 2000
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Postgraduate, Research & Scholarly
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

0 Preliminaries.- 0.1 Topology and measures.- 0.2 Tail inequalities.- 0.3 Filtrations and stopping times.- 0.4 Extensions of probability spaces.- 0.5 Bernoulli and canonical Gaussian and ?-stable sequences.- 0.6 Gaussian measures on linear spaces.- 0.7 Modulars on linear spaces.- 0.8 Musielak-Orlicz spaces.- 0.9 Random Musielak-Orlicz spaces.- 0.10 Complements and comments.- Bibliographical notes.- I Random Series.- 1 Basic Inequalities for Random Linear Forms in Independent Random Variables.- 2 Convergence of Series of Independent Random Variables.- 3 Domination Principles and Comparison of Sums of Independent Random Variables.- 4 Martingales.- 5 Domination Principles for Martingales.- 6 Random Multilinear Forms in Independent Random Variables and Polynomial Chaos.- II Stochastic Integrals.- 7 Integration with Respect to General Stochastic Measures.- 8 Deterministic Integrands.- 9 Predictable Integrands.- 10 Multiple Stochastic Integrals.- A Unconditional and Bounded Multiplier Convergence of Random Series.- A.2 Almost sure convergence.- A.3 Complements and comments.- A hypercontractive view.- Bibliographical notes.- B Vector Measures.- B.1 Extensions of vector measures.- B.2 Boundedness and control measure of stochastic measures.- B.3 Complements and comments.- Bibliographical notes.

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