Weijie Su

Weijie Su
  • Assistant Professor of Statistics

Contact Information

  • office Address:

    472 Jon M. Huntsman Hall
    3730 Walnut Street
    Philadelphia, PA 19104

Research Interests: high-dimensional inference, large-scale multiple testing, first-order optimization algorithms, and privacy-preserving data analysis.

Links: Personal Website

Overview

Education

Ph.D. in Statistics, Stanford University, 2016
B.S. in Mathematics, Peking University, 2011
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Research

Teaching

Current Courses

  • STAT431 - Statistical Inference

    Graphical displays; one- and two-sample confidence intervals; one- and two-sample hypothesis tests; one- and two-way ANOVA; simple and multiple linear least-squares regression; nonlinear regression; variable selection; logistic regression; categorical data analysis; goodness-of-fit tests. A methodology course. This course does not have business applications but has significant overlap with STAT 101 and 102.

    STAT431401 ( Syllabus )

    STAT431402 ( Syllabus )

  • STAT511 - Statistical Inference

    Graphical displays; one- and two-sample confidence intervals; one- and two-sample hypothesis tests; one- and two-way ANOVA; simple and multiple linear least-squares regression; nonlinear regression; variable selection; logistic regression; categorical data analysis; goodness-of-fit tests. A methodology course.

    STAT511401 ( Syllabus )

    STAT511402 ( Syllabus )

Past Courses

  • STAT431 - STATISTICAL INFERENCE

    Graphical displays; one- and two-sample confidence intervals; one- and two-sample hypothesis tests; one- and two-way ANOVA; simple and multiple linear least-squares regression; nonlinear regression; variable selection; logistic regression; categorical data analysis; goodness-of-fit tests. A methodology course. This course does not have business applications but has significant overlap with STAT 101 and 102.

  • STAT511 - STATISTICAL INFERENCE

    Graphical displays; one- and two-sample confidence intervals; one- and two-sample hypothesis tests; one- and two-way ANOVA; simple and multiple linear least-squares regression; nonlinear regression; variable selection; logistic regression; categorical data analysis; goodness-of-fit tests. A methodology course.

  • STAT991 - SEM IN ADV APPL OF STAT

    This seminar will be taken by doctoral candidates after the completion of most of their coursework. Topics vary from year to year and are chosen from advance probability, statistical inference, robust methods, and decision theory with principal emphasis on applications.

Activity

Latest Research

Weijie Su, Malgorzata Bogdan, Emmanuel Candès (2017), False Discoveries Occur Early on the Lasso Path, The Annals of Statistics, 45 (5), pp. 2133-2150.
All Research