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Reproducing Kernel Hilbert Spaces in Probability and Statistics

โœ Scribed by Alain Berlinet, Christine Thomas-Agnan


Publisher
Springer
Year
2004
Tongue
English
Leaves
368
Category
Library

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๐Ÿ“œ SIMILAR VOLUMES


Reproducing Kernel Hilbert Spaces in Pro
โœ Alain Berlinet, Christine Thomas-Agnan (auth.) ๐Ÿ“‚ Library ๐Ÿ“… 2004 ๐Ÿ› Springer US ๐ŸŒ English

<p>The reproducing kernel Hilbert space construction is a bijection or transform theory which associates a positive definite kernel (gaussian processes) with a Hilbert space offunctions. Like all transform theories (think Fourier), problems in one space may become transparent in the other, and optim

Reproducing Kernel Hilbert Spaces in Pro
โœ Alain Berlinet, Christine Thomas-Agnan (auth.) ๐Ÿ“‚ Library ๐Ÿ“… 2004 ๐Ÿ› Springer US ๐ŸŒ English

<p>The reproducing kernel Hilbert space construction is a bijection or transform theory which associates a positive definite kernel (gaussian processes) with a Hilbert space offunctions. Like all transform theories (think Fourier), problems in one space may become transparent in the other, and optim

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โœ Berlinet, Alain; Thomas-Agnan, Christine ๐Ÿ“‚ Library ๐Ÿ“… 2004;2001 ๐Ÿ› Springer Netherlands;Kluwer Academic ๐ŸŒ English

The reproducing kernel Hilbert space construction is a bijection or transform theory which associates a positive definite kernel (gaussian processes) with a Hilbert space offunctions. Like all transform theories (think Fourier), problems in one space may become transparent in the other, and optimal

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Explains how Hilbert space techniques cross the boundaries into the foundations of probability and statistics. Focuses on the theory of martingales stochastic integration, interpolation and density estimation. Includes a copious amount of problems and examples.Content: <br>Chapter 1 Introduction (pa

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<span>Explains how Hilbert space techniques cross the boundaries into the foundations of probability and statistics. Focuses on the theory of martingales stochastic integration, interpolation and density estimation. Includes a copious amount of problems and examples.</span>