Topic: Envelope Models and Methods
Speaker: Dr. Zhihua Su
Abstract:
This talk presents
an introduction of a recent statistical concept called an envelope. An envelope
has the potential to achieve substantial efficiency gains in multivariate
analysis by identifying and accounting for immaterial information in the data.
The efficiency gains are demonstrated both by theory and examples. Today
the scope of envelopes is extended well beyond multivariate linear regression.
An overview of recent developments in this area will be
discussed. Applications of envelopes and their connection to other fields
will also be mentioned.
Time：9:00--10:00, June 29, 2015
Room：X2511
Profile：Dr. Zhihua Su is an assistant
professor at Department of Statistics, University of Florida (USA). She got her
Ph.D. in statistics for University of Florida in 2012. Her research interests
mainly lies in Dimension reduction, Multivariate analysis, Bioinformatics,
Model Selection, Nonparametric statistics.
