Jiming Jiang

Jiming Jiang is Professor and former Director of the Statistical Laboratory at the University of California, Davis. Jiming Jiang is a prominent researcher in the fields of mixed effects models, small area estimation and model selection. He is best known for his fundamental work on restricted maximum likelihood (REML), resampling methods in small area estimation, and the development of fence methods for model selection. Professor Jiang is a co-recipient of the Chinese National Natural Science Award and American Statistical Association’s Outstanding Statistical Application Award.

He is a Fellow of the American Statistical Association and the Institute of Mathematical Statistics. Professor Jiang is the author or co-author of over 50 scientific papers, many of which published in prestigious journals such as the Annals of Statistics and Journal of the American Statistical Association, and author of the Springer book, Linear and Generalized Linear Mixed Models and their Applications. He is on the Editorial Boards of the Annals of Statistics, Journal of Multivariate Analysis and Journal of Statistical Planning and Inference. Partha Lahiri is Professor of the Joint Program in Survey


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