High-dimensional Data Analysis

by T Tony Cai, Xiaotong Shen

Overview

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.

Product Details

ISBN-13:	9789814324854
Publisher:	World Scientific / Higher Education Press, China
Publication date:	12/15/2010
Series:	Frontiers Of Statistics , #2
Pages:	320
Product dimensions:	6.80(w) x 9.50(h) x 1.00(d)