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Stochastic analysis for gaussian random processes and fields: with applications
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 pre...
Autores principales: | , |
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Lenguaje: | eng |
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CRC Press
2015
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Acceso en línea: | http://cds.cern.ch/record/2032043 |