Theory And Application Of Random Fields
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Gaussian Markov Random Fields
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Author : Havard Rue
language : en
Publisher: CRC Press
Release Date : 2005-02-18
Gaussian Markov Random Fields written by Havard Rue and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-02-18 with Mathematics categories.
Gaussian Markov Random Field (GMRF) models are most widely used in spatial statistics - a very active area of research in which few up-to-date reference works are available. This is the first book on the subject that provides a unified framework of GMRFs with particular emphasis on the computational aspects. This book includes extensive case-studie
Theory And Application Of Random Fields
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Author : G. Kallianpur
language : en
Publisher:
Release Date : 2014-01-15
Theory And Application Of Random Fields written by G. Kallianpur and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-01-15 with categories.
Markov Random Fields
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Author : Rama Chellappa
language : en
Publisher:
Release Date : 1993
Markov Random Fields written by Rama Chellappa and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with Mathematics categories.
Introduces the theory and application of Markov random fields in image processing/computer vision. Modelling images through the local interaction of Markov models produces algorithms for use in texture analysis, image synthesis, restoration, segmentation and surface reconstruction.
Theory And Application Of Random Fields
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Author : Robert J. Adler
language : en
Publisher:
Release Date : 1988
Theory And Application Of Random Fields written by Robert J. Adler and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1988 with categories.
The main results discussed in this report include: 1) The modelling of rough surfaces via Gaussian and non-Gaussian random fields. Development of new classes of non-Gaussian random processes; 2) The distributional properties of the supremum of Gaussian random processes defined on general state spaces. Applications of these results to the theory and application of empirical processes; 3) Investigation and development of the interface between Gaussian and Markovian processes. Results on local time and intersection local time of measure and distribution valued processes; and 4) Preparation of a monograph treating the general theory of continuity and boundedness for Gaussian processes via entropy and majorising measures. Keywords: Chi square method, Stochastic processes, Israel. (kr).
Random Fields On A Network
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Author : Xavier Guyon
language : en
Publisher: Springer Science & Business Media
Release Date : 1995-06-23
Random Fields On A Network written by Xavier Guyon and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995-06-23 with Mathematics categories.
The theory of spatial models over lattices, or random fields as they are known, has developed significantly over recent years. This book provides a graduate-level introduction to the subject which assumes only a basic knowledge of probability and statistics, finite Markov chains, and the spectral theory of second-order processes. A particular strength of this book is its emphasis on examples - both to motivate the theory which is being developed, and to demonstrate the applications which range from statistical mechanics to image analysis and from statistics to stochastic algorithms.
Random Fields
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Author : Erik Vanmarcke
language : en
Publisher: World Scientific
Release Date : 2010
Random Fields written by Erik Vanmarcke and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Mathematics categories.
Random variation is a fact of life that provides substance to a wide range of problems in the sciences, engineering, and economics. There is a growing need in diverse disciplines to model complex patterns of variation and interdependence using random fields, as both deterministic treatment and conventional statistics are often insufficient. An ideal random field model will capture key features of complex random phenomena in terms of a minimum number of physically meaningful and experimentally accessible parameters. This volume, a revised and expanded edition of an acclaimed book first published by the M I T Press, offers a synthesis of methods to describe and analyze and, where appropriate, predict and control random fields. There is much new material, covering both theory and applications, notably on a class of probability distributions derived from quantum mechanics, relevant to stochastic modeling in fields such as cosmology, biology and system reliability, and on discrete-unit or agent-based random processes.Random Fields is self-contained and unified in presentation. The first edition was found, in a review in EOS (American Geophysical Union) to be ?both technically interesting and a pleasure to read ? the presentation is clear and the book should be useful to almost anyone who uses random processes to solve problems in engineering or science ? and (there is) continued emphasis on describing the mathematics in physical terms.?
Theory And Application Of Random Fields
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Author : Gopinath Kallianpur (Mathématicien)
language : en
Publisher:
Release Date : 1983
Theory And Application Of Random Fields written by Gopinath Kallianpur (Mathématicien) and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1983 with categories.
Theory And Application Of Random Fields
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Author : G. Kallianpur
language : en
Publisher: Springer
Release Date : 1983
Theory And Application Of Random Fields written by G. Kallianpur and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 1983 with Computers categories.
An Innovation Approach To Random Fields
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Author : Takeyuki Hida
language : en
Publisher: World Scientific
Release Date : 2004
An Innovation Approach To Random Fields written by Takeyuki Hida and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Mathematics categories.
A random field is a mathematical model of evolutional fluctuatingcomplex systems parametrized by a multi-dimensional manifold like acurve or a surface. As the parameter varies, the random field carriesmuch 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 elementalstochastic process with a basic and simple way of dependence, and thenexpress the given field as a function of the innovation. Theytherefore establish an infinite-dimensional stochastic calculus, inparticular a stochastic variational calculus. The analysis offunctions of the innovation is essentially infinite-dimensional. Theauthors use not only the theory of functional analysis, but also theirnew tools for the study
Extremes In Random Fields
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Author : Benjamin Yakir
language : en
Publisher: John Wiley & Sons
Release Date : 2013-08-01
Extremes In Random Fields written by Benjamin Yakir and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-08-01 with Mathematics categories.
Presents a useful new technique for analyzing the extreme-value behaviour of random fields Modern science typically involves the analysis of increasingly complex data. The extreme values that emerge in the statistical analysis of complex data are often of particular interest. This book focuses on the analytical approximations of the statistical significance of extreme values. Several relatively complex applications of the technique to problems that emerge in practical situations are presented. All the examples are difficult to analyze using classical methods, and as a result, the author presents a novel technique, designed to be more accessible to the user. Extreme value analysis is widely applied in areas such as operational research, bioinformatics, computer science, finance and many other disciplines. This book will be useful for scientists, engineers and advanced graduate students who need to develop their own statistical tools for the analysis of their data. Whilst this book may not provide the reader with the specific answer it will inspire them to rethink their problem in the context of random fields, apply the method, and produce a solution.