The book develops modern methods and in particular the "generic chaining" to bound stochastic processes. This methods allows in particular to get optimal bounds for Gaussian and Bernoulli processes. Applications are given to stable processes, infinitely divisible processes, matching theorems, the convergence of random Fourier series, of orthogonal series, and to functional analysis. The complete solution of a number of classical problems is given in complete detail, and an ambitious program for future research is laid out.
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Upper and Lower Bounds for Stochastic Processes: Modern Methods and Classical Problems
The book develops modern methods and in particular the "generic chaining" to bound stochastic processes. This methods allows in particular to get optimal bounds for Gaussian and Bernoulli processes. Applications are given to stable processes, infinitely divisible processes, matching theorems, the convergence of random Fourier series, of orthogonal series, and to functional analysis. The complete solution of a number of classical problems is given in complete detail, and an ambitious program for future research is laid out.
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Upper and Lower Bounds for Stochastic Processes: Modern Methods and Classical Problems
626Upper and Lower Bounds for Stochastic Processes: Modern Methods and Classical Problems
626eBook(2014)
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Product Details
ISBN-13: | 9783642540752 |
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Publisher: | Springer-Verlag New York, LLC |
Publication date: | 02/12/2014 |
Series: | Ergebnisse der Mathematik und ihrer Grenzgebiete. 3. Folge / A Series of Modern Surveys in Mathematics , #60 |
Sold by: | Barnes & Noble |
Format: | eBook |
Pages: | 626 |
File size: | 13 MB |
Note: | This product may take a few minutes to download. |
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