What Are the Different Statistician Careers?

Li Kezhao received a bachelor's degree in mathematics from Taiwan University in 1975 and a Ph.D. in statistics from the University of California, Berkeley in 1981. He is currently a professor in the Department of Statistics of the University of California, Los Angeles, and a professor in the Institute of Statistics of the Taipei Research Institute.

Li Kezhao

(Statistician)

Li Kezhao received a bachelor's degree in mathematics from Taiwan University in 1975, and a Ph.D. in statistics from the University of California, Berkeley in 1981. His tutor is Jack Kiefer. After graduation, he was an assistant professor in the Department of Statistics of Purdue University (1981-1984), and then an associate professor and professor at the University of California, Los Angeles. He is currently a professor at the Taipei Institute of Statistics Institute and a professor at the University of California, Los Angeles. Professor Li Kezhao was elected Fellow of the International Mathematical Association (IMS) and the American Statistical Association (ASA) in 1989 and 1991, respectively, and was elected as a member of the Central Academy of Sciences in 2012. From 1999 to 2002, he was the editor-in-chief of the authoritative statistical journal "Statistica Sinica" and the associate editor of "Annals of Statistics" (1989-1994), "Statistia sinica" (1991-1999), and "Computational Statistics" (1993-2001) ^[1]

Professor Li Kezhao's specialty is statistics, and he is famous for creatively suggesting two fundamental dimensionality reduction methods: sliced inverse regression (SIR) and principal Hessian direction (PHD). Professor Li Kezhao received the Gugenheimer Prize in 1993 and the outstanding contribution of the International Chinese Statistical Society in 2010.

Li, KC and Duan, N. (1989). Regression analysis under link violation. Annals of Statistics . 17 , 1009-1052.

Duan, N. and Li, KC (1991). Slicing regression: a link-free regression method. Annals of Statistics . 19 , 505-530.

Li, KC (1991). Sliced inverse regression for dimension reduction, with discussion. Journal of the American Statistical Association . 86 , 316-342.

Li, KC (1992). On principal Hessian directions for data visualization and dimension reduction: another application of Stein s lemma. Journal of the American Statistical Association . 87 , 1025-1039.

Hall, P. and Li, KC (1993). On almost linearity of low dimensional projections from high dimensional data. Annals of Statistics . 21 , 867-889.

Li, KC, Wang, JL and Chen, CH (1999) Dimension reduction for censored regression data. Annals of Statistics . 27 , 1-23.

Li, KC, Aragon, Y, Shedden, K. and Thomos-Agan, CC (2003). Dimension reduction for multivariate response data. Journal of the American Statistical Association . 98 , 99-106.

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