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Reproducing Kernel Hilbert Spaces in Probability and Statistics
Berlinet, Alain; Thomas-Agnan, Christine
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Description for Reproducing Kernel Hilbert Spaces in Probability and Statistics
Paperback. Num Pages: 355 pages, biography. BIC Classification: KCA; PBT. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 20. Weight in Grams: 581.
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 solutions in one space are often usefully optimal in the other. The theory was born in complex function theory, abstracted and then accidently injected into Statistics; Manny Parzen as a graduate student at Berkeley was given a strip of paper containing his qualifying exam problem- It read "reproducing kernel Hilbert space"- In the 1950's this was a ... Read more
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 solutions in one space are often usefully optimal in the other. The theory was born in complex function theory, abstracted and then accidently injected into Statistics; Manny Parzen as a graduate student at Berkeley was given a strip of paper containing his qualifying exam problem- It read "reproducing kernel Hilbert space"- In the 1950's this was a ... Read more
Product Details
Format
Paperback
Publication date
2012
Publisher
Springer-Verlag New York Inc. United States
Number of pages
355
Condition
New
Number of Pages
355
Place of Publication
New York, NY, United States
ISBN
9781461347927
SKU
V9781461347927
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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