| High-Dimensional Data Analysis (V2) Contributor(s): Tony Cai & Xiaotong Shen (Author) |
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ISBN: 981432485X ISBN-13: 9789814324854 Publisher: Wsp/Other Publr OUR PRICE: $111.15 Product Type: Hardcover Published: March 2011 |
| Additional Information |
| BISAC Categories: - Mathematics | Probability & Statistics - Regression Analysis - Mathematics | Combinatorics - Mathematics | Applied |
| Dewey: 519 |
| Series: Frontiers of Statistics |
| Physical Information: 0.9" H x 6.8" W x 9.4" (1.6 lbs) 320 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: Over the last few years, significant developments have been taking place in high-dimensional data analysis, driven primarily by a wide range of applications in many fields such as genomics and signal processing. In particular, substantial advances have been made in the areas of feature selection, covariance estimation, classification and regression. This book intends to examine important issues arising from high-dimensional data analysis to explore key ideas for statistical inference and prediction. It is structured around topics on multiple hypothesis testing, feature selection, regression, classification, dimension reduction, as well as applications in survival analysis and biomedical research. The book will appeal to graduate students and new researchers interested in the plethora of opportunities available in high-dimensional data analysis. |