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Reproducing Kernel Hilbert Spaces in Probability and Statistics
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Reproducing Kernel Hilbert Spaces in Probability and Statistics

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Berlinet (mathematics, U. of Montpellier, France) and Thomas-Agnan (U. of Toulouse, France) present the main points of the theory of reproducing kernel Hilbert spaces (RKHS) and study examples of its use in probability and mathematical statistics. Their aim is to provide mathematical tools for handling problems in these areas with the intention of putting together topics seemingly different but sharing the same background, such as statistical signal processing, nonparametric curve estimation, random measures and limit theorems. For graduate students and scientists in statistics, mathematics and engineering. Annotation c2004 Book News, Inc., Portland, OR (booknews.com)

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定價:100 16239
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