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An innovation approach to random fields : application of white noise theory /
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 app...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Singapore ; London :
World Scientific,
©2004.
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| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 100 | 1 | |a Takeyuki, Hida. | |
| 245 | 1 | 3 | |a An innovation approach to random fields : |b application of white noise theory / |c Takeyuki Hida, Si Si. |
| 260 | |a Singapore ; |a London : |b World Scientific, |c ©2004. | ||
| 300 | |a 1 online resource (xiii, 189 pages) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a data file |2 rda | ||
| 504 | |a Includes bibliographical references and index. | ||
| 588 | 0 | |a Print version record. | |
| 505 | 0 | |a Preface; Contents; 1. Introduction; 2. White Noise; 3. Poisson Noise; 4. Random Fields; 5 Gaussian Random Fields; 6 Some Non-Gaussian Random Fields; 7 Variational Calculus For Random Fields; 8 Innovation Approach; 9 Reversibility; 10 Applications; Appendix; Epilogue; List of Notations; Bibliography; Index. | |
| 520 | |a 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, inpartic. | ||
| 590 | |a eBooks on EBSCOhost |b EBSCO eBook Subscription Academic Collection - Worldwide | ||
| 650 | 0 | |a Stochastic analysis. | |
| 650 | 0 | |a Random fields. | |
| 650 | 0 | |a Random noise theory. | |
| 650 | 6 | |a Analyse stochastique. | |
| 650 | 6 | |a Champs aléatoires. | |
| 650 | 6 | |a Théorie du bruit aléatoire. | |
| 650 | 7 | |a MATHEMATICS |x Probability & Statistics |x Stochastic Processes. |2 bisacsh | |
| 650 | 7 | |a Random noise theory |2 fast | |
| 650 | 7 | |a Random fields |2 fast | |
| 650 | 7 | |a Stochastic analysis |2 fast | |
| 650 | 7 | |a Analyse stochastique. |2 rvm | |
| 650 | 7 | |a Champs aléatoires. |2 rvm | |
| 650 | 7 | |a Bruit aléatoire, Théorie du. |2 rvm | |
| 700 | 1 | |a Si, Si. | |
| 776 | 0 | 8 | |i Print version: |a Hida, Takeyuki, 1927- |t Innovation approach to random fields. |d Singapore ; River Edge, NJ : World Scientific, ©2004 |z 9812380957 |w (OCoLC)56877664 |
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