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Published by World Scientific Publishing Company, 2004
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Random measures and stochastic integration.- A topological invariant for linear systems describing some random fields.- Gaussian random fields and Gaussian evolutions.- Remarks on convergence of feynman path integrals.- Stochastic evolution equations and densities of the conditional distributions.- Generalized Brownian functionals.- Towards a theory of noncommutative semimartingales adapted to Brownian motion and a quantum Ito's formula.- Quantum diffusions.- Stochastic differential equations in infinite dimensions.- Commuting semigroups of isometries and karhunen representation of second order stationary random fields.- Robust filtering for systems with correlation between signal and observation.- Ito formula for generalized Brownian functionals.- Donsker's delta function as a generalized Brownian functional and its application.- The variational principle for stationary Gaussian Markov fields.- Pathwise differentiability with respect to a parameter of solutions of stochastic differential equations.- Quelques resultats analytiques sur le semi-groupe d'Ornstein-Uhlenbeck en dimension infinie.- On a wave equation associated with prediction errors for a stationary Gaussian process.- A stochastic Dyson series expansion.- On Poisson multiple stochastic integrals and associated equilibrium Markov processes.- Invitation to white noise calculus.- Some probabilistic problems in the spatially homogeneous Boltzmann equation.- Unilateral models for stochastic lattice processes.- Random walks among random scatterers.- Malliavin's calculus in terms of generalized Wiener functionals.
Taschenbuch. Condition: Neu. Theory and Application of Random Fields | Proceedings of the IFIP-WG 7/1 Working Conference held under the joint auspices of the Indian Statistical Institute Bangalore, India, January 1982 | G. Kallianpur | Taschenbuch | vi | Englisch | 1983 | Springer | EAN 9783540122326 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Published by World Scientific Publishing Company, 2004
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Published by World Scientific Publishing Company, 2004
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Published by World Scientific Publishing, 2004
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Gebunden. Condition: New. An exploration of random fields. The authors use an approach that firstly constructs innovation, which is the most elemental stochastic process with a basic and simple way of dependence, and then they express the given field as a function of the innovation.
Language: English
Published by World Scientific Publishing Company Jul 2004, 2004
ISBN 10: 9812380957 ISBN 13: 9789812380951
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Buch. Condition: Neu. Neuware - A random field is a mathematical model of evolutional fluctuating complex systems parametrized by a multi-dimensional manifold like a curve or a surface. As the parameter varies, the random field carries much information and hence it has complex stochastic structure.The authors of this book use an approach that is characteristic: namely, they first construct innovation, which is the most elemental stochastic process with a basic and simple way of dependence, and then express the given field as a function of the innovation. They therefore establish an infinite-dimensional stochastic calculus, in particular a stochastic variational calculus. The analysis of functions of the innovation is essentially infinite-dimensional. The authors use not only the theory of functional analysis, but also their new tools for the study.
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World Scientific, New Jersey 2004. xiii, 189 pp. Hardcover. Very good condition.
Language: English
Published by Springer Berlin Heidelberg, Springer Apr 1983, 1983
ISBN 10: 354012232X ISBN 13: 9783540122326
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Random measures and stochastic integration.- A topological invariant for linear systems describing some random fields.- Gaussian random fields and Gaussian evolutions.- Remarks on convergence of feynman path integrals.- Stochastic evolution equations and densities of the conditional distributions.- Generalized Brownian functionals.- Towards a theory of noncommutative semimartingales adapted to Brownian motion and a quantum Ito's formula.- Quantum diffusions.- Stochastic differential equations in infinite dimensions.- Commuting semigroups of isometries and karhunen representation of second order stationary random fields.- Robust filtering for systems with correlation between signal and observation.- Ito formula for generalized Brownian functionals.- Donsker's delta function as a generalized Brownian functional and its application.- The variational principle for stationary Gaussian Markov fields.- Pathwise differentiability with respect to a parameter of solutions of stochastic differential equations.- Quelques resultats analytiques sur le semi-groupe d'Ornstein-Uhlenbeck en dimension infinie.- On a wave equation associated with prediction errors for a stationary Gaussian process.- A stochastic Dyson series expansion.- On Poisson multiple stochastic integrals and associated equilibrium Markov processes.- Invitation to white noise calculus.- Some probabilistic problems in the spatially homogeneous Boltzmann equation.- Unilateral models for stochastic lattice processes.- Random walks among random scatterers.- Malliavin's calculus in terms of generalized Wiener functionals. 304 pp. Englisch.
Language: English
Published by VDM Verlag Dr. Müller E.K.
ISBN 10: 6130336195 ISBN 13: 9786130336196
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - High Quality Content by WIKIPEDIA articles! In statistics, a univariate distribution is a probability distribution of only one random variable. This is in contrast to a multivariate distribution, the probability distribution of a random vector. In probability theory and statistics, a probability distribution identifies either the probability of each value of an unidentified random variable when the variable is discrete, or the probability of the value falling within a particular interval when the variable is continuous. The probability distribution describes the range of possible values that a random variable can attain and the probability that the value of the random variable is within any measurable subset of that range.
Language: English
Published by Springer Berlin Heidelberg, 1983
ISBN 10: 354012232X ISBN 13: 9783540122326
Seller: moluna, Greven, Germany
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Random measures and stochastic integration.- A topological invariant for linear systems describing some random fields.- Gaussian random fields and Gaussian evolutions.- Remarks on convergence of feynman path integrals.- Stochastic evolution equations and de.