Zhiliang Ying

Zhiliang Ying (Chinese: 应志良; pinyin: yìng zhìliáng; born April 1960) is a Professor of Statistics in the Department of Statistics, Columbia University. [1] He served as co-chair of the department. [2]

Zhiliang Ying
BornApril 1960 (age 60)
Shanghai, P.R.China
NationalityAmerican
Alma materColumbia University
Fudan University
Scientific career
FieldsStatistics
InstitutionsColumbia University
ThesisRecursive Estimation and Adaptive Control in Stochastic Linear Systems (1987)
Doctoral advisorTze Leung Lai

He received his Ph.D from Columbia University in 1987, with Tze Leung Lai as his doctoral advisor. He was the Director of the Institute of Statistics at Rutgers University from 1997 to 2001. His wide research interests cover Survival Analysis, Sequential Analysis, Longitudinal Data Analysis, Stochastic Processes, Semiparametric Inference, Biostatistics and Educational Statistics. He is a co-editor of Statistica Sinica and has been Associate Editor of JASA, Statistica Sinica, Annals of Statistics, Biometrics, and Lifetime Data Analysis.

Ying has supervised, collaborated with and encouraged many researchers. He has written or co-authored more than 100 research articles in professional journals.

Selected honours and awards

Selected papers
  • Lin, D. Y., Wei, L. J., & Ying, Z. (1993). Checking the Cox model with cumulative sums of martingale-based residuals. Biometrika, 80(3), 557-572.
  • Lin, D. Y., & Ying, Z. (1994). Semiparametric analysis of the additive risk model. Biometrika, 81(1), 61-71.
  • Chang, H. H., & Ying, Z. (1996). A global information approach to computerized adaptive testing. Applied Psychological Measurement, 20(3), 213-229.
  • Jin, Z., Lin, D. Y., Wei, L. J., & Ying, Z. (2003). Rank‐based inference for the accelerated failure time model. Biometrika, 90(2), 341-353.
  • Ying, Z. (1993), A large sample study of rank estimation for censored regression data. The Annals of Statistics, 76-99.
gollark: I have a better constant.
gollark: Oh please, 0.01234567891011121314151617181920212223242526272829303132 is expressible as a fraction, you fools.
gollark: 0.01234567891011121314151617181920212223242526272829303132
gollark: 1-bit *signed* ints.
gollark: Someone make me 1-bit ints.

References
  1. Official web page at Columbia
  2. International Chinese Statistical Association
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