Advising

Current Graduate Advisees

• Lin, Mengting, Ph.D. Candidate (joint with Yang, L.), 2019-present
• Rimkus, Mantautas, Ph.D. Candidate (joint with Kokoszka, P.), 2019-present
• Zhang, Zifeng, Ph.D. Candidate (joint with Zhou, W.), 2020-present
• Stanton, Gray, Ph.D. Candidate, 2020-present
• Adams, Addison, Ph.D. Candidate (joint with Zhou, T.), 2021-present
• Lu, Hongyang, Ph.D. Candidate, 2022-present

Completed PhD Students

• Cao, Xiaofan (Martha). Model Selection Based On Expected Squared Hellinger Distance. Fall 2007, joint with Iyer, H.
• Sonderegger, Derek. Nonparametric Function Smoothing: Fiducial Inference Of Free Knot Splines And Ecological Applications. Spring 2010, joint with Hannig, J.
• Chu, Tingjin. Parametric And Semiparametric Model Estimation And Selection In Geostatistics. Summer 2012, joint with Zhu, J.
• Wang, Yuan. Linear System Design For Compression And Fusion. Fall 2013, joint with Scharf, L.
• Sienkiewicz, Ela. Analysis of Structured Data and Big Data with Application to Neuroscience. Summer 2015.
• Tu, Yan (Catherine). A Penalized Estimation Procedure For Varying Coefficient Models. Fall, 2015.
• Tan, Hongyu (Mike). Modulated Renewal Process Models With Functional Predictors For Neural Connectivities. Fall 2015, joint with Chapman, P.
• Kim, Sooyoung. Improved Inference In Heteroskedastic Regression Models With Monotone Variance Function Estimation. Fall 2018, joint with Meyer, M.
• Liu, Jialuo. Statistical Modeling And Inference For Spatial And Spatio-Temporal Data. Fall 2019.
• Zhang, Lyuou. Non-Asymptotic Properties Of Spectral Decomposition Of Large Gram-Type Matrices With Applications To High-Dimensional Inference. Fall 2020, joint with Zhou, W.
• Chi, Jiarui. Sliced Inverse Approach And Domain Recovery For Stochastic Inverse Problems. Fall 2021, joint with Estep, D.

Completed MS Students

• Huang, Yao. Using measurement error model to assess the effects of metal pollution to species in Arkansas river. Spring 2008.
• Li, Wentao. Spring 2008.
• Mendonca, Sybil. eBay as the "Terminator'': Feedback Ratings and Culture. Fall 2008, with Hayne, S.
• Chu, Tingjin. Penalized Maximum Likelihood Estimation and Variable Selection in Spatial Linear Regression. Spring 2010, joint with Zhu, J.
• Bugbee, Bruce Daniel. Bidder Behaviours on eBay: Collectibles and Commodities. Spring 2010, joint with Hayne, S.
• Tu, Yan. Dynamical Multi-Input, Single-Output Model Neural Spike Transformation. Spring 2010.
• Wang, Yuan. Regression Model with Tree Structured Response. Spring 2010.
• Wang, Lu. A Classification Analysis Of Seller's Behavior On eBay. Spring 2012, joint with Hayne, S.
• Sienkiewicz, Ela. Fall 2012.
• Tredoux, Gavan. Predicting Student Loan Outcomes using Penalized Regression. Fall 2013.
• Prytherch, Ben. Investigating NIH Funding Levels for Interdisciplinary Research Relative to Non-Interdisciplinary Research Using Quantile Regression Modeling. Fall 2013, joint with Hayne, S.
• Ellison, Greg. Text Analysis of eBay Reviews. Fall 2014, joint with Homrighausen, D.
• Kim, Sooyoung. Data Analysis of Egr-1 Data Using Zero-Inflated Models. Spring 2015, joint with Hoke, K.
• Brown, Richard. A Study of Collaborative Funding from the National Institutes of Health From Social Network Perspectives. Summer 2015, joint with Hayne, S.
• Katherine Zagnoli. Delayed driving licensure among US teens: survival analysis of interval-censored survey data. Fall 2019, joint with Li, K.
• Nguyen, Hieu. Statistical and probabilistic analysis of interarrival and waiting times of Internet2 anomalies. Fall 2019, joint with Kokoszka, P.