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Gaussian markov random fields, Rue, Havard Held, Leonhard


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Цена: 43890.00T
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Автор: Rue, Havard Held, Leonhard
Название:  Gaussian markov random fields
ISBN: 9781032477909
Издательство: Taylor&Francis
Классификация:

ISBN-10: 1032477903
Обложка/Формат: Paperback
Страницы: 280
Вес: 0.41 кг.
Дата издания: 21.01.2023
Серия: Chapman & hall/crc monographs on statistics and applied probability
Иллюстрации: 25 illustrations, black and white
Размер: 267 x 153 x 18
Читательская аудитория: Professional & vocational
Подзаголовок: Theory and applications
Рейтинг:
Поставляется из: Европейский союз

Gaussian Markov Random Fields

Автор: Rue
Название: Gaussian Markov Random Fields
ISBN: 1584884320 ISBN-13(EAN): 9781584884323
Издательство: Taylor&Francis
Рейтинг:
Цена: 163330.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Gaussian Markov Random Field (GMRF) models, most widely used in spatial statistics are presented in this, the first book on the subject that provides a unified framework of GMRFs with particular emphasis on the computational aspects.

Gaussian and Non-Gaussian Linear Time Series and Random Fields

Автор: Murray Rosenblatt
Название: Gaussian and Non-Gaussian Linear Time Series and Random Fields
ISBN: 1461270677 ISBN-13(EAN): 9781461270676
Издательство: Springer
Рейтинг:
Цена: 93160.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The principal focus here is on autoregressive moving average models and analogous random fields, with probabilistic and statistical questions also being discussed.

Stochastic Analysis For Gaussian Ra

Автор: Mandrekar
Название: Stochastic Analysis For Gaussian Ra
ISBN: 1498707815 ISBN-13(EAN): 9781498707817
Издательство: Taylor&Francis
Рейтинг:
Цена: 102080.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

Stochastic Analysis for Gaussian Random Processes and Fields: With Applications presents Hilbert space methods to study deep analytic properties connecting probabilistic notions. In particular, it studies Gaussian random fields using reproducing kernel Hilbert spaces (RKHSs).

The book begins with preliminary results on covariance and associated RKHS before introducing the Gaussian process and Gaussian random fields. The authors use chaos expansion to define the Skorokhod integral, which generalizes the It integral. They show how the Skorokhod integral is a dual operator of Skorokhod differentiation and the divergence operator of Malliavin. The authors also present Gaussian processes indexed by real numbers and obtain a Kallianpur-Striebel Bayes' formula for the filtering problem. After discussing the problem of equivalence and singularity of Gaussian random fields (including a generalization of the Girsanov theorem), the book concludes with the Markov property of Gaussian random fields indexed by measures and generalized Gaussian random fields indexed by Schwartz space. The Markov property for generalized random fields is connected to the Markov process generated by a Dirichlet form.


Gaussian Processes on Trees

Автор: Bovier
Название: Gaussian Processes on Trees
ISBN: 1107160499 ISBN-13(EAN): 9781107160491
Издательство: Cambridge Academ
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Цена: 62310.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Branching Brownian motion is a key model at the crossroads of value statistics for Gaussian processes, statistical physics, and non-linear partial differential equations. This book gives a concise introduction for graduate students and researchers leading up to the most recent developments in this active area of research.

Stochastic Analysis for Gaussian Random Processes and Fields

Автор: Mandrekar, Vidyadhar S.
Название: Stochastic Analysis for Gaussian Random Processes and Fields
ISBN: 0367738147 ISBN-13(EAN): 9780367738143
Издательство: Taylor&Francis
Рейтинг:
Цена: 48990.00 T
Наличие на складе: Нет в наличии.

Markov Processes, Gaussian Processes, and Local Times

Автор: Marcus
Название: Markov Processes, Gaussian Processes, and Local Times
ISBN: 1107403758 ISBN-13(EAN): 9781107403758
Издательство: Cambridge Academ
Рейтинг:
Цена: 80250.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Two foremost researchers present important advances in stochastic process theory by linking well-understood (Gaussian) and less well-understood (Markov) classes of processes. It builds to this material through `mini-courses` on the relevant ingredients, which assume only measure-theoretic probability. This original, readable 2006 book is for researchers and advanced graduate students.

Gaussian Process Regression Analysis for Functional Data

Автор: Shi, Jian Qing
Название: Gaussian Process Regression Analysis for Functional Data
ISBN: 1439837732 ISBN-13(EAN): 9781439837733
Издательство: Taylor&Francis
Рейтинг:
Цена: 163330.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.

Handbook for Applied Modeling: Non-Gaussian and Correlated Data

Автор: Jamie D. Riggs
Название: Handbook for Applied Modeling: Non-Gaussian and Correlated Data
ISBN: 1316601056 ISBN-13(EAN): 9781316601051
Издательство: Cambridge Academ
Рейтинг:
Цена: 40130.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Designed for the applied practitioner, this book is a compact, entry-level guide to modeling and analyzing data that fail idealized assumptions. It explains and demonstrates core techniques, common pitfalls and data issues, and interpretation of model results, all with a focus on application, utility, and real-life data.

CRC Handbook of Tables for Order Statistics from Inverse Gaussian Distributions with Applications

Автор: Balakrishnan, N.
Название: CRC Handbook of Tables for Order Statistics from Inverse Gaussian Distributions with Applications
ISBN: 0849331188 ISBN-13(EAN): 9780849331183
Издательство: Taylor&Francis
Рейтинг:
Цена: 244990.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.

The Inverse Gaussian Distribution

Автор: Chhikara, Raj
Название: The Inverse Gaussian Distribution
ISBN: 0367451263 ISBN-13(EAN): 9780367451264
Издательство: Taylor&Francis
Рейтинг:
Цена: 63280.00 T
Наличие на складе: Невозможна поставка.
Описание: This monograph is a compilation of research on the inverse Gaussian distribution. It emphasizes the presentation of the statistical properties, methods, and applications of the two-parameter inverse Gaussian family of distribution. It is useful to statisticians and users of statistical distribution.

Stable Non-Gaussian Self-Similar Processes with Stationary Increments

Автор: Vladas Pipiras; Murad S. Taqqu
Название: Stable Non-Gaussian Self-Similar Processes with Stationary Increments
ISBN: 3319623303 ISBN-13(EAN): 9783319623306
Издательство: Springer
Рейтинг:
Цена: 46570.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a self-contained presentation on the structure of a large class of stable processes, known as self-similar mixed moving averages. The first sections in the book review random variables, stochastic processes, and integrals, moving on to rigidity and flows, and finally ending with mixed moving averages and self-similarity.

Twenty Lectures about Gaussian Processes

Автор: Piterbarg Vladimir Ilich
Название: Twenty Lectures about Gaussian Processes
ISBN: 0984422196 ISBN-13(EAN): 9780984422197
Издательство: Неизвестно
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Цена: 54250.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The Filofax Personal Saffiano organiser in pear combines a sophisticated classic leather-look cover in a bright on trend colour with a simple personal organiser construction and clean lines. The cover is made from PU with a classic cross-grain effect, whilst the interior is a combination of the external PU and colour-matched polyester. The closure is a concealed popper. The Filofax Personal Saffiano organiser in pear comes complete with a selection of refills and a week to view diary. The inside left cover of the organiser features 3 card pockets and 1 larger pocket. The inside right cover has a notepad pocket and a colour matched elastic pen loop. The organiser has a ring mechanism with 6 rings of 23mm to fit paper size 95mm x 171mm.


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