Related Books
Language: en
Pages: 197
Pages: 197
Type: BOOK - Published: 2017-12-21 - Publisher: Springer
This book describes computational problems related to kernel density estimation (KDE) – one of the most important and widely used data smoothing techniques. A
Language: en
Pages: 769
Pages: 769
Type: BOOK - Published: 2011-10-09 - Publisher: Princeton University Press
A comprehensive, up-to-date textbook on nonparametric methods for students and researchers Until now, students and researchers in nonparametric and semiparametr
Language: en
Pages: 249
Pages: 249
Type: BOOK - Published: 2018-05-08 - Publisher: CRC Press
Kernel smoothing has greatly evolved since its inception to become an essential methodology in the data science tool kit for the 21st century. Its widespread ad
Language: en
Pages: 317
Pages: 317
Type: BOOK - Published: 2012-08-27 - Publisher: Springer Science & Business Media
The statistical and mathematical principles of smoothing with a focus on applicable techniques are presented in this book. It naturally splits into two parts: T
Language: en
Pages: 376
Pages: 376
Type: BOOK - Published: 1985-01-18 - Publisher: New York ; Toronto : Wiley
This book gives a rigorous, systematic treatment of density estimates, their construction, use and analysis with full proofs. It develops L1 theory, rather than