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Jussi Sakari Klemelä - Multivariate Nonparametric Regression and Visualization - 9780470384428 - V9780470384428
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Multivariate Nonparametric Regression and Visualization

€ 131.15
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Description for Multivariate Nonparametric Regression and Visualization Hardcover. Covering classification and regression, Statistical Learning is the first of its kind to use visualization techniques to identify, test, and analyze classifiers for their most accurate exploration of data. Series: Wiley Series in Computational Statistics. Num Pages: 392 pages, illustrations. BIC Classification: PBT; UYA. Category: (P) Professional & Vocational. Dimension: 164 x 257 x 24. Weight in Grams: 786.

A modern approach to statistical learning and its applications through visualization methods

With a unique and innovative presentation, Multivariate Nonparametric Regression and Visualization provides readers with the core statistical concepts to obtain complete and accurate predictions when given a set of data. Focusing on nonparametric methods to adapt to the multiple types of data generating mechanisms, the book begins with an overview of classification and regression.

The book then introduces and examines various tested and proven visualization techniques for learning samples and functions. Multivariate Nonparametric Regression and Visualization identifies risk management, portfolio selection, and option pricing as the main areas in ... Read more

  • An extensive appendix with R-package training material to encourage duplication and modification of the presented computations and research
  • Multiple examples to demonstrate the applications in the field of finance
  • Sections with formal definitions of the various applied methods for readers to utilize throughout the book

Multivariate Nonparametric Regression and Visualization is an ideal textbook for upper-undergraduate and graduate-level courses on nonparametric function estimation, advanced topics in statistics, and quantitative finance. The book is also an excellent reference for practitioners who apply statistical methods in quantitative finance.

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Product Details

Format
Hardback
Publication date
2014
Publisher
John Wiley and Sons Ltd United Kingdom
Number of pages
416
Condition
New
Series
Wiley Series in Computational Statistics
Number of Pages
392
Place of Publication
, United States
ISBN
9780470384428
SKU
V9780470384428
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-1

About Jussi Sakari Klemelä
JUSSI KLEMELÄ, PhD, is Senior Research Fellow in the Department of Mathematical Sciences at the University of Oulu. He has written numerous journal articles on his research interests, which include density estimation and the implementation of cutting edge visualization tools. Dr. Klemelä is the author of Smoothing of Multivariate Data: Density Estimation and Visualization, also published by Wiley.

Reviews for Multivariate Nonparametric Regression and Visualization
“Altogether, the book provides a very nice overview of nonparametric and semiparametric regression methods with interesting applications to problems in quantitative finance.”  (Mathematical Reviews, 1 October 2015)  

Goodreads reviews for Multivariate Nonparametric Regression and Visualization


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