Ph.D. Dissertations Supervised:

  1. Bertrand S. Clarke (1989). Asymptotic Cumulative Risk and Bayes Risk under Entropy Loss, with Applications. University of Illinois at Urbana-Champaign. [Was Assistant Professor at Purdue University; then Professor at University of British Columbia and University of Miami; Now Chairman, Department of Statistics, University of Nebraska]

  2. Chyong-Hwa Sheu (1989). Density Estimation with Kullback-Leibler Loss. University of Illinois at Urbana-Champaign.

  3. Yuhong Yang (1996). Minimax Optimal Density Estimation. Yale University. [Was Assistant Professor at Iowa State University; Now Professor at University of Minnesota, Department of Statistics.]

  4. Qun (Trent) Xie (1997). Minimax Coding and Prediction. Yale University. [Was at GE Capital, Inc., Fairfield, CT. Then an Assistant Professor at Tsinghua Univ.]

  5. Gerald Cheang (1998). Neural Net Approximation and Estimation of Functions. Yale University. [Now at Singapore Technical and Education University.]

  6. Qiang (Jonathan) Li (1999). Estimation of Mixture Models. Yale University. [Was at KPMG Financial Services, New York. Then at Stanford Research Institute, Palo Alto. Now at Radar Networks, Inc., San Franscisco]

  7. Feng Liang (2002). Exact Minimax Predictive Density Estimation. Yale University. [Was Assistant Professor Department of Statistics, Duke University. Now Associate Professor, Department of Statistics, University of Illinois at Urbana-Champaign]

  8. Wei Qiu (2007). Maximum Wealth Portfolios. Yale University. [J.P. Morgan Chase, Columbus, Ohio.]

  9. Cong Huang (2008). Risk of Penalized Least Squares, Greedy Selection and L1-Penalization for Flexible Function Libraries. Yale University. [Was at Columbia University, Department of Statistics. Now in China.]

  10. Xi Luo (Rossi) (2009). Penalized Likelihoods: Fast Algorithms and Risk Bounds. Yale University. [Was at University of Pennsylvania, postdoc with Tony Cai, Department of Statistics. Now Assistant Professor at Brown University, Department of Biostatistics.]

  11. Antony Joseph (2012). Achieving Information Theoretic Limits with High Dimensional Regression. Yale University. Co-developer at Yale of capacity-achieving sparse superposition codes. [Was at University of California, Berkeley, postdoc with Bin Yu, Department of Statistics. Now at Walmart Research.]

  12. Sanghee Cho (2014). High-Dimensional Regression with Random Design, including Sparse Superposition Codes. Yale University. [At GE Research, Schenectady, New York]

  13. Sabyasachi Chatterjee (2014). Adaptation in Estimation and Annealing. Yale University. [Postdoc with John Lafferty, Department of Statistics, University of Chicago.]

  14. Xiao (Grace) Yang (2015). Compression and Predictive Distributions for Large Alphabets. Yale University. [Now at Apple Inc., Cupertino, California.]

  15. Cynthia Rush (May 2016). Iterative Algorithms for Inference and Optimization, with Applications in Communications and Compressed Sensing. Yale University. [Now at Department of Statistics, Columbia University.]