High-Dimensional Data Analysis 高维数据分析
作者： 蔡天文 沈晓桐
出版时间：2010-10-08
出版社：高等教育出版社
- 高等教育出版社
- 9787040298512
- 1
- 253474
- 精装
- 16开
- 2010-10-08
- 300
- 307
- 理学
- 统计学
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 highdimensional data analysis.
