In this talk, Dr. Chung Eun Lee proposes a flexible model-free approach to the regression analysis of a tensor
In this talk, Dr. Chung Eun Lee proposes a flexible model-free approach to the regression analysis of a tensor response and a vector predictor. Without specifying the specific form of the regression mean function, she considers the estimation of the dimension reduction subspace that captures all the variations in the regression mean function.
Speaker Bio: Dr. Chung Eun Lee is an Associate Professor in Paul H. Chook Department of Information Systems and Statistics, Zicklin School of Business at Baruch College. Her research interests are primarily in statistical methodology for dimension reduction, time series, functional data, and tensor data. Her work has been published in the Journal of the American Statistical Association (Theory and Methods), Biometrika, Statistica Sinica., Journal of Business & Economic Statistics. She is also interested in statistical applications in real-world problems of business and industry
Location: Business Building 4.02.10 (Executive Conference Room)
(Friday) 2:00 pm - 3:00 pm
Business Building 4.02.10
One UTSA Circle