Tony Cai

Tony Cai
  • Daniel H. Silberberg Professor in Applied Mathematics and Statistics
  • Professor of Statistics and Data Science

Contact Information

  • office Address:

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

Research Interests: functional data analysis, high dimensional inference, large-scale multiple testing, nonparametric function estimation, statistical decision theory, wavelet methodology and applications

Links: Personal Website

Overview

Education

PhD, Cornell University, 1996

Career and Recent Professional Awards

The 2008 COPSS Presidents’ Award, Committee of Presidents of Statistical Societies
Medallion Lecturer, Institute of Mathematical Statistics, 2009
Fellow of the Institute of Mathematical Statistics (IMS).

Academic Positions Held

Wharton: 2000-present (named Dorothy Silberberg Professor, 2007).
Previous appointment: Purdue University

For more information, go to My Personal Page

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Research

Teaching

Current Courses (Fall 2022)

  • STAT4300 - Probability

    Discrete and continuous sample spaces and probability; random variables, distributions, independence; expectation and generating functions; Markov chains and recurrence theory.

    STAT4300002 ( Syllabus )

    STAT4300001 ( Syllabus )

  • STAT9720 - Adv Topics In Math Stat

    A continuation of STAT 9700.

    STAT9720001 ( Syllabus )

All Courses

  • AMCS9999 - Ind Study & Research

    Study under the direction of a faculty member.

  • STAT4300 - Probability

    Discrete and continuous sample spaces and probability; random variables, distributions, independence; expectation and generating functions; Markov chains and recurrence theory.

  • STAT5100 - Probability

    Elements of matrix algebra. Discrete and continuous random variables and their distributions. Moments and moment generating functions. Joint distributions. Functions and transformations of random variables. Law of large numbers and the central limit theorem. Point estimation: sufficiency, maximum likelihood, minimum variance. Confidence intervals. A one-year course in calculus is recommended.

  • STAT9150 - Nonparametric Inference

    Statistical inference when the functional form of the distribution is not specified. Nonparametric function estimation, density estimation, survival analysis, contingency tables, association, and efficiency.

  • STAT9720 - Adv Topics in Math Stat

    A continuation of STAT 9700.

  • STAT9910 - 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.

  • STAT9950 - Dissertation

  • STAT9990 - Independent Study

    Written permission of instructor and the department course coordinator required to enroll.

Awards and Honors

Activity

Wharton Magazine

Final Exam

Think you could still ace your way through Wharton? Well, here’s your chance to prove it.

Wharton Magazine - 09/01/2010