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Publicado por Springer International Publishing AG, CH, 2014
ISBN 10: 3319128523 ISBN 13: 9783319128528
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Librería: Books Puddle, New York, NY, Estados Unidos de America
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Añadir al carritoHardcover. Condición: Like New. Like New. book.
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Publicado por Springer International Publishing, 2014
ISBN 10: 3319128523 ISBN 13: 9783319128528
Librería: moluna, Greven, Alemania
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Publicado por Springer International Publishing AG, CH, 2014
ISBN 10: 3319128523 ISBN 13: 9783319128528
Librería: Rarewaves.com UK, London, Reino Unido
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Añadir al carritoHardback. Condición: New. 2015 ed.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
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Publicado por Springer International Publishing, Cham, 2015
ISBN 10: 3319128523 ISBN 13: 9783319128528
Librería: Der Buchfreund, Wien, Austria
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Añadir al carritoOriginal-Pappband. Condición: Sehr gut. gr8 Original-Pappband en Mathematik, Stochastik, Wahrscheinlichkeit (Probability Theory and Stochastic Modelling. Vol. 73); VIII pp., 211 pp.
Librería: Revaluation Books, Exeter, Reino Unido
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Añadir al carritoHardcover. Condición: Brand New. 2015 edition. 220 pages. 9.50x6.50x0.75 inches. In Stock.
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Publicado por Springer, Palgrave Macmillan, 2014
ISBN 10: 3319128523 ISBN 13: 9783319128528
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 90,94
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Añadir al carritoBuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Considering Poisson random measures as the driving sources for stochastic (partial) differential equations allows us to incorporate jumps and to model sudden, unexpected phenomena. By using such equations the present book introduces a new method for modeling the states of complex systems perturbed by random sources over time, such as interest rates in financial markets or temperature distributions in a specific region. It studies properties of the solutions of the stochastic equations, observing the long-term behavior and the sensitivity of the solutions to changes in the initial data. The authors consider an integration theory of measurable and adapted processes in appropriate Banach spaces as well as the non-Gaussian case, whereas most of the literature only focuses on predictable settings in Hilbert spaces. The book is intended for graduate students and researchers in stochastic (partial) differential equations, mathematical finance and non-linear filtering and assumes a knowledge of the required integration theory, existence and uniqueness results and stability theory. The results will be of particular interest to natural scientists and the finance community. Readers should ideally be familiar with stochastic processes and probability theory in general, as well as functional analysis and in particular the theory of operator semigroups.
Idioma: Inglés
Publicado por Springer International Publishing Dez 2014, 2014
ISBN 10: 3319128523 ISBN 13: 9783319128528
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 48,14
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Añadir al carritoBuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Considering Poisson random measures as the driving sources for stochastic (partial) differential equations allows us to incorporate jumps and to model sudden, unexpected phenomena. By using such equations the present book introduces a new method for modeling the states of complex systems perturbed by random sources over time, such as interest rates in financial markets or temperature distributions in a specific region. It studies properties of the solutions of the stochastic equations, observing the long-term behavior and the sensitivity of the solutions to changes in the initial data. The authors consider an integration theory of measurable and adapted processes in appropriate Banach spaces as well as the non-Gaussian case, whereas most of the literature only focuses on predictable settings in Hilbert spaces. The book is intended for graduate students and researchers in stochastic (partial) differential equations, mathematical finance and non-linear filtering and assumes a knowledge of the required integration theory, existence and uniqueness results and stability theory. The results will be of particular interest to natural scientists and the finance community. Readers should ideally be familiar with stochastic processes and probability theory in general, as well as functional analysis and in particular the theory of operator semigroups. 220 pp. Englisch.
Librería: Brook Bookstore On Demand, Napoli, NA, Italia
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Añadir al carritoCondición: new. Questo è un articolo print on demand.
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Librería: Biblios, Frankfurt am main, HESSE, Alemania
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Añadir al carritoCondición: New. PRINT ON DEMAND.
Idioma: Inglés
Publicado por Springer, Palgrave Macmillan Dez 2014, 2014
ISBN 10: 3319128523 ISBN 13: 9783319128528
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 90,94
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Añadir al carritoBuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Considering Poisson random measures as the driving sources for stochastic (partial) differential equations allows us to incorporate jumps and to model sudden, unexpected phenomena. By using such equations the present book introduces a new method for modeling the states of complex systems perturbed by random sources over time, such as interest rates in financial markets or temperature distributions in a specific region. It studies properties of the solutions of the stochastic equations, observing the long-term behavior and the sensitivity of the solutions to changes in the initial data. The authors consider an integration theory of measurable and adapted processes in appropriate Banach spaces as well as the non-Gaussian case, whereas most of the literature only focuses on predictable settings in Hilbert spaces.The book is intended for graduate students and researchers in stochastic (partial) differential equations, mathematical finance and non-linear filtering and assumes a knowledge of the required integration theory, existence and uniqueness results and stability theory. The results will be of particular interest to natural scientists and the finance community. Readers should ideally be familiar with stochastic processes and probability theory in general, as well as functional analysis and in particular the theory of operator semigroups. ¿Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 220 pp. Englisch.