Tony Cai

• Tony Cai, Rungang Han, Anru Zhang (2022), On the Non-asymptotic Concentration of Heteroskedastic Wishart-type Matrix, Electronic Journal of Probability, 27 (), pp. 1-40.
• Anru Zhang, Tony Cai, Yihong Wu (2022), Heteroskedastic PCA: Algorithm, Optimality, and Applications, Annals of Statistics, 50 (1), pp. 53-80.
• Zijian Guo, Claude Renaux, Peter Bühlmann, Tony Cai (2021), Group Inference in High Dimensions with Applications to Hierarchical Testing, Electronic Journal of Statistics, 15 (), pp. 6633-6676.
• Sai Li, Tony Cai, Hongzhe Li (Under Review), Inference for High-dimensional Linear Mixed-effects Models: A Quasi-likelihood Approach.
• Tony Cai and Linjun Zhang (Under Review), A Convex Optimization Approach to High-dimensional Sparse Quadratic Discriminant Analysis.
• Rong Ma, Tony Cai, Hongzhe Li (2020), Global and Simultaneous Hypothesis Testing for High-Dimensional Logistic Regression Models, Journal of the American Statistical Association, (to appear) ().
• Tony Cai, Xiao Han, Guangming Pan (2020), Limiting Laws for Divergent Spiked Eigenvalues and Largest Non-spiked Eigenvalue of Sample Covariance Matrices, Annals of Statistics, (to appear) ().
• Tony Cai, Yichen Wang, Linjun Zhang (Under Review), The Cost of Privacy: Optimal Rates of Convergence for Parameter Estimation with Differential Privacy.
• Hyunseung Kang, Tony Cai, Dylan Small (Under Review), Robust Confidence Intervals for Causal Effects with Possibly Invalid Instruments.
• Tianxi Cai, Tony Cai, Zijian Guo (Under Review), Individualized Treatment Selection: An Optimal Hypothesis Testing Approach In High-dimensional Models.
• All Research from Tony Cai »

Past Courses

• AMCS5999 - Independent Study

  Independent Study allows students to pursue academic interests not available in regularly offered courses. Students must consult with their academic advisor to formulate a project directly related to the student’s research interests. All independent study courses are subject to the approval of the AMCS Graduate Group Chair.

• 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

  Dissertation

• Peter Whittle Lecture, Cambridge University, 2018
• Hermann Otto Hirschfeld Lectures, Humboldt-Universitat zu Berlin, 2012
• Forum Lecture, 28th European Meeting of Statisticians, Piraeus, Greece, 2010
• Medallion Lecturer, Institute of Mathematical Statistics, 2009
• The COPSS Presidents' Award, Committee of Presidents of Statistical Societies, 2008
• Fellow, Institute of Mathematical Statistics, 2006
• International Chinese Statistical Association Outstanding Service Award, 1970
• International Chinese Statistical Association Distinguished Achievement Award, 1970
• Laplace Lecture, Bernoulli Society, 10th World Congress in Probability & Statistics, 1970
• International Chinese Statistical Association Distinguished Achievement Award, 1970

Knowledge @ Wharton

• NFL Combine with Kevin Cole, Knowledge @ Wharton - 03/05/2025
• Retail’s Tough Reality: Lessons from Joann’s Closure, Knowledge @ Wharton - 03/05/2025
• Why Does Gender Income Inequality Still Exist in the U.S.?, Knowledge @ Wharton - 03/04/2025
• Women Moving Forward: Collected Insights, Knowledge @ Wharton - 03/04/2025
• How Ambiguity Aversion Affects Investment Choices, Knowledge @ Wharton - 03/04/2025
• What’s Behind the Secret Walls of Family Offices?, Knowledge @ Wharton - 03/03/2025
• Soccer Analytics with Ryan O’Hanlon, Knowledge @ Wharton - 02/28/2025
• The Business of Layoffs: Strategy or Short-Term Fix?, Knowledge @ Wharton - 02/28/2025
• The Cost of Cutting Social Security Taxes, Knowledge @ Wharton - 02/26/2025
• The Fed and Inflation: What’s Next?, Knowledge @ Wharton - 02/25/2025