You might also like

More about High-dimensional Data Analysis

• Book details
• Synopsis
• Trending among others

You get 284 loyalty points

Book synopsis

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. This book will appeal to graduate students and new researchers interested in the plethora of opportunities available in high-dimensional data analysis.

Book details

Book category Books in English Mathematics & science Mathematics Probability & statistics

• Full title: High-dimensional Data Analysis
• Author: T. Tony Cai, Xiaotong Shen
• Language: English
• Binding: Hardback
• Number of pages: 320
• EAN: 9789814324854
• ISBN: 981432485X
• ID: 05070284
• Publisher: World Scientific Publishing Co Pte Ltd
• Weight: 618 g
• Dimensions: 245 × 170 × 24 mm
• Date of publishing: 15. December 2010

Trending among others

---

---

---