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Lily Wang

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Li Lily Wang is a Chinese statistician whose research interests include nonparametric statistics, semiparametric statistics, large data sets and high-dimensional data, and official statistics. She is an associate professor of statistics at George Mason University .[1]

Education and career

Wang studied economics at Tongji University, graduating in 2000, and earned a master's degree in mathematics from Tongji University in 2003. She completed a Ph.D. in statistics at Michigan State University in 2007.[2] Her dissertation, Polynomial Spline Smoothing for Nonlinear Time Series, was supervised by Li-Jian Yang.[3]

She became a faculty member in the University of Georgia department of statistics in 2007, and moved to Iowa State University as an associate professor in 2014. While holding these faculty positions, she has also worked as a visiting scholar at the United States Census Bureau, Bureau of Labor Statistics, and U.S. Securities and Exchange Commission.[2]

Recognition

Wang was named an Elected Member of the International Statistical Institute in 2008.[2] In 2020 she was named a Fellow of the Institute of Mathematical Statistics "for contributions to spatial, survey, image and functional analysis using nonparametric and semiparametric methods, especially to partially linear models, confidence envelopes and bivariate smoothing".[4] She became a Fellow of the American Statistical Association in 2021.[5]

References

  1. ^ "Dr. Lily Wang", People, Iowa State University Department of Statistics, retrieved 2020-07-03
  2. ^ a b c Curriculum vitae (PDF), 2020, retrieved 2020-07-03
  3. ^ Lily Wang at the Mathematics Genealogy Project
  4. ^ Congratulations to the 2020 IMS Fellows!, Institute of Mathematical Statistics, May 17, 2020, retrieved 2020-07-03
  5. ^ ASA Fellows list, American Statistical Association, retrieved 2021-07-04
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