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Teaching

Courses

  • Fall 2022      Nonparametric Statistics, 18 students.
  • Fall 2021      Introductory Statistics,108 students; Statistical Machine Learning, 22 students.
  • Spring 2021      Introductory Statistics,109 students; Statistical Methods II, 55 students.
  • Fall      2020      Statistical Machine Learning, 27 students.
  • Spring  2020      Applied Statistics II, 14 students.
  • Fall      2019      Introductory Statistics, 119 students; Statistical Methods II, 40 students
  • Spring 2019      Applied Statistics II, 21 students; Introductory Statistics, 110 students.
  • Fall      2018      Selected Topics in Nonparametric Statistics, 15 students.
  • Spring  2018     Applied Statistics II, 23 students; Statistical Methods II, 88 students.
  • Spring  2017     Applied Statistics II, 23 students; Statistical Methods II, 84 students.
  • Spring  2016     Applied Statistics II, 34 students; Statistical Methods II, 96 students.
  • Spring  2015     Applied Statistics II, 19 students; Statistical Methods II, 94 students.
  • Fall      2014      Introductory Statistics, 107 students.
  • Spring  2014     Statistical Theory II, 11 students; Statistical Methods II, 66 students.
  • Spring  2013     Statistical Theory II, 13 students.
  • Fall      2012     Introductory Statistics, 61 students.

Current PhD Students

  • Siqi Xiang (joint with J. Steve Marron), Benjamin Brown, Wan Zhang.

Previous PhD Students

  • Kentaro Hoffman (2022; Joint with Cynthia Rudin). Dissertation on “Borrowing from Your Neighbors: Three Statistical Techniques from Nontraditional Sources.”
  • Hang Yu (2021; Joint with Donglin Zeng). Dissertation on “Sparse Machine Learning Methods for Prediction and Personalized Medicine.”
  • Duyeol Lee (2020; Joint with Michael Kosorok). Dissertation on “Precision Finance and BERET.”
  • Siliang Gong (2018; Joint with Yufeng Liu). Dissertation on “Study on Correlations in High Dimensional Data.”
  • Hyowon An (2017; Joint  with J. Steve Marron). Dissertation on “Gaussian Centered L-moments.”
  • Kelly Bodwin (2017; Joint with Andrew Nobel). Dissertation on “Methods of Association Mining by Variable-to-Set Affinity Testing.”
  • Qunqun Yu (2017; Joint with J. Steve Marron). Dissertation on “Curve Registration and Human Connectome Data.”