Contemporary Experimental Design, Multivariate Analysis and Data Mining: Festschrift in Honour of Professor Kai-Tai Fang

Jianqing Fan, Jianxin Pan

Research output: Book/ReportBook

3 Scopus citations

Abstract

The collection and analysis of data play an important role in many fields of science and technology, such as computational biology, quantitative finance, information engineering, machine learning, neuroscience, medicine, and the social sciences. Especially in the era of big data, researchers can easily collect data characterised by massive dimensions and complexity. In celebration of Professor Kai-Tai Fang’s 80th birthday, we present this book, which furthers new and exciting developments in modern statistical theories, methods and applications. The book features four review papers on Professor Fang’s numerous contributions to the fields of experimental design, multivariate analysis, data mining and education. It also contains twenty research articles contributed by prominent and active figures in their fields. The articles cover a wide range of important topics such as experimental design, multivariate analysis, data mining, hypothesis testing and statistical models.

Original languageEnglish (US)
PublisherSpringer International Publishing
Number of pages386
ISBN (Electronic)9783030461614
ISBN (Print)9783030461607
DOIs
StatePublished - Jan 1 2020

All Science Journal Classification (ASJC) codes

  • Mathematics(all)
  • Computer Science(all)
  • Medicine(all)

Keywords

  • 62F 62H 62G 62K 62J 62N 62P
  • Composite design
  • Covariance matrix
  • Functional data
  • Quantile regression
  • Robust design
  • big data
  • data mining
  • experimental design
  • high-dimensional data
  • longitudinal data
  • machine learning
  • multivariate data
  • network data
  • survival data
  • variable selection

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