Stochastic Analysis for Gaussian Random Processes and Fields : With Applications PDF
by Vidyadhar S. (Michigan State University, East Lansing, USA) Mandrekar, Leszek (Kettering University, Flint, Michigan, USA) Gawarecki
Part of the Chapman & Hall/CRC Monographs on Statistics and Applied Probability series
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Description
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
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- Format:PDF
- Pages:201 pages
- Publisher:Taylor & Francis Inc
- Publication Date:23/06/2015
- Category:
- ISBN:9781498707824
Information
-
Download Now
- Format:PDF
- Pages:201 pages
- Publisher:Taylor & Francis Inc
- Publication Date:23/06/2015
- Category:
- ISBN:9781498707824