Ying Wei is a statistician and a professor of biostatistics in the Columbia University Mailman School of Public Health, working primarily on quantile regression, semiparametric models of longitudinal data, and their applications.[1]

Ying Wei
NationalityChinese
Alma materUniversity of Illinois at Urbana-Champaign
University of Science and Technology of China
Scientific career
FieldsStatistics
InstitutionsColumbia University

Wei graduated with a B.S. degree in 1998 and a master's degree in 2001 from the University of Science and Technology of China. In 2004, Wei earned her Ph.D. in statistics from the University of Illinois at Urbana–Champaign.[1] Her dissertation, Longitudinal Growth Charts Based on Semiparametric Quantile Regression, was completed under the supervision of Xuming He.[2] Since 2004, Wei has been a faculty member of Biostatistics in the Columbia University, and also an affiliated member of the Data Science Institute.[3]

In 2011, Wei received the Noether Young Scholar Award of the American Statistical Association, "for outstanding early contributions to nonparametric statistics."[4] In 2015, Wei was elected as a Fellow of the American Statistical Association.[5] Wei is also an elected member of the International Statistical Institute.[6] In 2020 she was named as a Fellow of the Institute of Mathematical Statistics "for contributions to the development, dissemination, and application of mathematical statistics".[7]

References

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  1. ^ a b Ying Wei, Columbia University Mailman School of Public Health, retrieved 2017-11-19
  2. ^ Ying Wei at the Mathematics Genealogy Project
  3. ^ Ying Mei, Columbia University Data Science Institute, retrieved 2017-11-23
  4. ^ Gottfried E. Noether Awards, American Statistical Association, retrieved 2017-11-19
  5. ^ ASA Fellows list, American Statistical Association, retrieved 2017-11-19
  6. ^ Individual members, International Statistical Institute, retrieved 2017-11-19
  7. ^ Congratulations to the 2020 IMS Fellows!, Institute of Mathematical Statistics, May 17, 2020, retrieved 2020-07-04
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