理学院学术报告20190703(二)
发布人:胡彬  发布时间:2019-07-01   浏览次数:107

Best Look-Alike Prediction


    报告人: Thuan Nguyen, Oregon Health & Science University, USA

    时    间:201973日下午 16:00

    地    点:核工楼1216

    摘    要:A criterion of optimality in prediction is proposed that requires the predictor to assume the same type of values as the random variable it is predicting. In the case of categorical responses, the method leads to the Bayesian classifier with a uniform prior. However, the method extends to other cases, such as zero-inflated observations, as well. The method, called best look-alike prediction (BLAP), justifies an ``usual practice'' from a theoretical standpoint.Application of BLAP to small area estimation is considered. Two real-data examples are discussed.

    报告人简介:Dr. Thuan Nguyen received her M.D. degree from Hue University of Medicine and Pharmacy, Vietnam in 1995, and her Ph.D. in Biostatistics from the University of California, Davis, USA in 2008.

She is currently an Associate Professor of Biostatistics in the School of Public Health, Oregon Health & Science University, USA. Her research interests include mixed effects models, model selection, small area estimation, longitudinal data analysis, statistical genetics, missing data techniques, biostatistics and health policy research.

She is a co-author of a monograph, The Fence Methods (World Scientific 2015; joint with Jiang), and co-author of multiple publications in top statistical and biostatistical journals, including The Annals of Statistics, Journal of the American Statistical Association, Biostatistics, and Statistics in Medicine.