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Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and Inla, Krainski Elias, Gуmez-Rubio Virgilio, Bakka Haakon


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Цена: 7501.00р.
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При оформлении заказа до: 2025-07-28
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Автор: Krainski Elias, Gуmez-Rubio Virgilio, Bakka Haakon
Название:  Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and Inla
ISBN: 9780367570644
Издательство: Taylor&Francis
Классификация:



ISBN-10: 0367570645
Обложка/Формат: Paperback
Страницы: 284
Вес: 0.48 кг.
Дата издания: 02.07.2020
Язык: English
Размер: 23.11 x 14.99 x 1.78 cm
Читательская аудитория: Tertiary education (us: college)
Ссылка на Издательство: Link
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Поставляется из: Европейский союз
Описание: The Integrated Nested Laplace Approximation is a popular method for approximate Bayesian inference. INLA is an alternative to other methods for Bayesian inference, such as Markov Chain Monte Carlo, that are more computationally demanding. In addition, the R-INLA package for the R statistical software provides a way to fit such models in practice


Stochastic Differential Equations

Автор: Oksendal
Название: Stochastic Differential Equations
ISBN: 3540047581 ISBN-13(EAN): 9783540047582
Издательство: Springer
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Цена: 8223.00 р.
Наличие на складе: Есть (1 шт.)
Описание: Gives an introduction to the basic theory of stochastic calculus and its applications. This book offers examples in order to motivate and illustrate the theory and show its importance for many applications in for example economics, biology and physics.

Numerical Solution of Stochastic Differential Equations with Jumps in Finance

Автор: Platen
Название: Numerical Solution of Stochastic Differential Equations with Jumps in Finance
ISBN: 3642120571 ISBN-13(EAN): 9783642120572
Издательство: Springer
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Цена: 12717.00 р. 18167.00 -30%
Наличие на складе: Есть (1 шт.)
Описание: It presents many new results on higher-order methods for scenario and Monte Carlo simulation, including implicit, predictor corrector, extrapolation, Markov chain and variance reduction methods, stressing the importance of their numerical stability.

Stochastic Ordinary and Stochastic Partial Differential Equations

Автор: Peter Kotelenez
Название: Stochastic Ordinary and Stochastic Partial Differential Equations
ISBN: 1489986588 ISBN-13(EAN): 9781489986580
Издательство: Springer
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Цена: 18167.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book analyzes mathematical models of time-dependent physical phenomena on microscopic, macroscopic and mesoscopic levels. It provides a rigorous derivation of each level from the preceding one and examines the resulting mesoscopic equations in detail.

Random Fields and Stochastic Partial Differential Equations

Автор: Y. Rozanov
Название: Random Fields and Stochastic Partial Differential Equations
ISBN: 0792349849 ISBN-13(EAN): 9780792349846
Издательство: Springer
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Цена: 13275.00 р.
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Описание: This book considers some models described by means of partial differential equations and boundary conditions with chaotic stochastic disturbance. In a framework of stochastic partial differential equations an approach is suggested to generalize solutions of stochastic boundary problems.

Stochastic Partial Differential Equations and Related Fields

Автор: Eberle
Название: Stochastic Partial Differential Equations and Related Fields
ISBN: 3319749285 ISBN-13(EAN): 9783319749280
Издательство: Springer
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Цена: 18167.00 р.
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Описание:

This Festschrift contains five research surveys and thirty-four shorter contributions by participants of the conference ''Stochastic Partial Differential Equations and Related Fields'' hosted by the Faculty of Mathematics at Bielefeld University, October 10-14, 2016. The conference, attended by more than 140 participants, including PostDocs and PhD students, was held both to honor Michael R ckner's contributions to the field on the occasion of his 60th birthday and to bring together leading scientists and young researchers to present the current state of the art and promising future developments.

Each article introduces a well-described field related to Stochastic Partial Differential Equations and Stochastic Analysis in general. In particular, the longer surveys focus on Dirichlet forms and Potential theory, the analysis of Kolmogorov operators, Fokker-Planck equations in Hilbert spaces, the theory of variational solutions to stochastic partial differential equations, singular stochastic partial differential equations and their applications in mathematical physics, as well as on the theory of regularity structures and paracontrolled distributions.

The numerous research surveys make the volume especially useful for graduate students and researchers who wish to start work in the above-mentioned areas, or who want to be informed about the current state of the art.



Stochastic Partial Differential Equations and Applications

Автор: Giuseppe Da Prato; Luciano Tubaro
Название: Stochastic Partial Differential Equations and Applications
ISBN: 3540172114 ISBN-13(EAN): 9783540172116
Издательство: Springer
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Цена: 6288.00 р.
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Numerical Methods for Stochastic Partial Differential Equations with White Noise

Автор: Zhongqiang Zhang; George Em Karniadakis
Название: Numerical Methods for Stochastic Partial Differential Equations with White Noise
ISBN: 3319575104 ISBN-13(EAN): 9783319575100
Издательство: Springer
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Цена: 15372.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book covers numerical methods for stochastic partial differential equations with white noise using the framework of Wong-Zakai approximation. In addition, stochastic Euler equations are exploited as an application of stochastic collocation methods, where a numerical comparison with other integration methods in random space is made.

Stochastic Partial Differential Equations and Related Fields

Автор: Andreas Eberle; Martin Grothaus; Walter Hoh; Morit
Название: Stochastic Partial Differential Equations and Related Fields
ISBN: 3030091074 ISBN-13(EAN): 9783030091071
Издательство: Springer
Рейтинг:
Цена: 18167.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This Festschrift contains five research surveys and thirty-four shorter contributions by participants of the conference ''Stochastic Partial Differential Equations and Related Fields'' hosted by the Faculty of Mathematics at Bielefeld University, October 10–14, 2016. The conference, attended by more than 140 participants, including PostDocs and PhD students, was held both to honor Michael R?ckner's contributions to the field on the occasion of his 60th birthday and to bring together leading scientists and young researchers to present the current state of the art and promising future developments.Each article introduces a well-described field related to Stochastic Partial Differential Equations and Stochastic Analysis in general. In particular, the longer surveys focus on Dirichlet forms and Potential theory, the analysis of Kolmogorov operators, Fokker–Planck equations in Hilbert spaces, the theory of variational solutions to stochastic partial differential equations, singular stochastic partial differential equations and their applications in mathematical physics, as well as on the theory of regularity structures and paracontrolled distributions.The numerous research surveys make the volume especially useful for graduate students and researchers who wish to start work in the above-mentioned areas, or who want to be informed about the current state of the art.

Stochastic Partial Differential Equations

Автор: Chow, Pao-Liu
Название: Stochastic Partial Differential Equations
ISBN: 0367453126 ISBN-13(EAN): 9780367453121
Издательство: Taylor&Francis
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Цена: 9798.00 р.
Наличие на складе: Поставка под заказ.

Описание: Filling the void of an introductory text in the field, this book highlights several computational and analytical techniques involved in stochastic PDEs. It includes many challenging problems in stochastic analysis and treats stochastic PDEs in a practical way. The author first brings the subject back to its root in classical concrete problems. He t

Spatial and Spatio–temporal Bayesian Models with R – INLA

Автор: Marta Blangiardo,Michela Cameletti
Название: Spatial and Spatio–temporal Bayesian Models with R – INLA
ISBN: 1118326555 ISBN-13(EAN): 9781118326558
Издательство: Wiley
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Цена: 9496.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Spatial and Spatio-Temporal Bayesian Models with R-INLA provides a much needed, practically oriented & innovative presentation of the combination of Bayesian methodology and spatial statistics.

Stochastic Differential Equations, Backward SDEs, Partial Di

Название: Stochastic Differential Equations, Backward SDEs, Partial Di
ISBN: 3319057138 ISBN-13(EAN): 9783319057132
Издательство: Springer
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Цена: 19564.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This research monograph presents results to researchers in stochastic calculus, forward and backward stochastic differential equations, connections between diffusion processes and second order partial differential equations (PDEs), and financial mathematics.

Stochastic PDEs and Dynamics

Автор: Boling Guo, Hongjun Gao, Xueke Pu
Название: Stochastic PDEs and Dynamics
ISBN: 3110495104 ISBN-13(EAN): 9783110495102
Издательство: Walter de Gruyter
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Цена: 18586.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book explains mathematical theories of a collection of stochastic partial differential equations and their dynamical behaviors. Based on probability and stochastic process, the authors discuss stochastic integrals, Ito formula and Ornstein-Uhlenbeck processes, and introduce theoretical framework for random attractors. With rigorous mathematical deduction, the book is an essential reference to mathematicians and physicists in nonlinear science. Contents: PreliminariesThe stochastic integral and It formulaOU processes and SDEsRandom attractorsApplicationsBibliographyIndex


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