Anderson Ye Zhang

Anderson Ye Zhang
  • Assistant Professor of Statistics

Contact Information

  • office Address:

    307 Wharton Academic Research Building
    265 South 37th Street
    Philadelphia, PA 19104

Research Interests: Network analysis, Mean field variational inference, Clustering and mixture models, Spectral analysis, Ranking and synchronization

Links: Personal Website

Overview

Education

Ph.D. in Statistics and Data Science, Yale University, 2018
B.Sc. in Statistics, Zhejiang University, 2013

Academic Positions Held

William H. Kruskal Instructor, Department of Statistics, University of Chicago, 2018-2019

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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. This course may be taken concurrently with the prerequisite with instructor permission.

    STAT431001 ( Syllabus )

    STAT431002 ( Syllabus )

  • STAT971 - Intro To Linear Stat Mod

    Theory of the Gaussian Linear Model, with applications to illustrate and complement the theory. Distribution theory of standard tests and estimates in multiple regression and ANOVA models. Model selection and its consequences. Random effects, Bayes, empirical Bayes and minimax estimation for such models. Generalized (Log-linear) models for specific non-Gaussian settings.

    STAT971001 ( 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. This course may be taken concurrently with the prerequisite with instructor permission.

  • STAT971 - INTRO TO LINEAR STAT MOD

    Theory of the Gaussian Linear Model, with applications to illustrate and complement the theory. Distribution theory of standard tests and estimates in multiple regression and ANOVA models. Model selection and its consequences. Random effects, Bayes, empirical Bayes and minimax estimation for such models. Generalized (Log-linear) models for specific non-Gaussian settings.

  • 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.

Awards and Honors

Activity