Description: Multivariate Nonparametric Regression and Visualization : With R and Applications to Finance, Hardcover by Klemela, Jussi, ISBN 0470384425, ISBN-13 9780470384428, Like New Used, Free P&P in the UK "This book uniquely utilizes visualization tools to explain and study statistical learning methods. Covering classification and regression, th is divided into two parts. First, various visualization methods are introduced and explained. Here, the reader is presented with applications of visualization techniques to learning samples (including projection pursuit, graphical matrices, and parallel coordinate plots) as well as functions, and sets. Next, the author provides a "toolbox" that contains formal definitions of the methods applied in th and then proceeds to present visualizations of classified learning samples and classified test samples. Visualization methods are applied for the initial exploration of data, to identify the correct type of classifier, and to estimate the best achievable classification error. Once identified, the classifier's properties, proper uses, and overall performance are demonstrated and measured using visualization methods. Key areas of coverage include linear methods, kernel methods, additive models and trees, boosting, support vector machines, and nearest neighbor methods In addition to providing applications to engineering and biomedicine, the author also uses financial data sets as real data examples to illustrate nonparametric function estimation. The author's own R software is used throughout to reproduce and modify th's computations and research. Readers can duplicate these applications using the software, available via th's related Web site"--
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Book Title: Multivariate Nonparametric Regression and Visualization : With R
Number of Pages: 392 Pages
Language: English
Publication Name: Multivariate Nonparametric Regression and Visualization: with R and Applications to Finance
Publisher: John Wiley & Sons INC International Concepts
Publication Year: 2014
Subject: Computer Science, Mathematics
Item Height: 235 mm
Item Weight: 798 g
Type: Textbook
Author: Jussi Sakari Klemela
Series: Wiley Series in Computational Statistics
Item Width: 165 mm
Format: Hardcover
