Smoothing Splines: Methods and Applications by Wang, Yuedong

Smoothing Splines: Methods and Applications

A general class of powerful and flexible modeling techniques, spline smoothing has attracted a great deal of...
HK$972.28
HK$972.28
SKU: 9781032477626
Product Type: Books
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Author: Yuedong Wang
Format: Paperback
Language: English
Subtotal: $972.28
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Smoothing Splines: Methods and Applications by Wang, Yuedong

Smoothing Splines: Methods and Applications

$972.28

Smoothing Splines: Methods and Applications

$972.28
Author: Yuedong Wang
Format: Paperback
Language: English

A general class of powerful and flexible modeling techniques, spline smoothing has attracted a great deal of research attention in recent years and has been widely used in many application areas, from medicine to economics. Smoothing Splines: Methods and Applications covers basic smoothing spline models, including polynomial, periodic, spherical, thin-plate, L-, and partial splines, as well as more advanced models, such as smoothing spline ANOVA, extended and generalized smoothing spline ANOVA, vector spline, nonparametric nonlinear regression, semiparametric regression, and semiparametric mixed-effects models. It also presents methods for model selection and inference.

The book provides unified frameworks for estimation, inference, and software implementation by using the general forms of nonparametric/semiparametric, linear/nonlinear, and fixed/mixed smoothing spline models. The theory of reproducing kernel Hilbert space (RKHS) is used to present various smoothing spline models in a unified fashion. Although this approach can be technical and difficult, the author makes the advanced smoothing spline methodology based on RKHS accessible to practitioners and students. He offers a gentle introduction to RKHS, keeps theory at a minimum level, and explains how RKHS can be used to construct spline models.

Smoothing Splines offers a balanced mix of methodology, computation, implementation, software, and applications. It uses R to perform all data analyses and includes a host of real data examples from astronomy, economics, medicine, and meteorology. The codes for all examples, along with related developments, can be found on the book's web page.



Author: Yuedong Wang
Publisher: CRC Press
Published: 01/21/2023
Pages: 384
Binding Type: Paperback
ISBN: 9781032477626

About the Author

Yuedong Wang is a professor and the chair of the Department of Statistics and Applied Probability at the University of California-Santa Barbara. Dr. Wang is an elected fellow of the ASA and ISI, a fellow of the RSS, and a member of IMS, IBS, and ICSA. His research covers the development of statistical methodology and its applications.




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