Bing Li

Sufficient Dimension Reduction (eBook, PDF)

Methods and Applications with R

• Format: PDF

Produktbeschreibung

Sufficient dimension reduction was first introduced in the early 90's as a set of graphical and diagnostic tools for regression with many predictors. Over the past two decades or so it has developed into a powerful theory and technique for handling high-dimensional data. This book will introduce the main results and important techniques in this area, and explore the current frontiers of research. These will be accompanied by numerical studies, data analysis, and computer codes.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 304
• Erscheinungstermin: 27. April 2018
• Englisch
• ISBN-13: 9781498704489
• Artikelnr.: 56834224

Autorenporträt

Bing Li obtained his Ph.D. from the University of Chicago. He is currently a Professor of Statistics at the Pennsylvania State University. His research interests cover sufficient dimension reduction, statistical graphical models, functional data analysis, machine learning, estimating equations and quasilikelihood, and robust statistics. He is a fellow of the Institute of Mathematical Statistics and the American Statistical Association. He is an Associate Editor for The Annals of Statistics and the Journal of the American Statistical Association.