Current Graduate Advisees
- Lin, Mengting, Ph.D. Candidate (joint with Yang, L.), 2019-present
- Zhang, Zifeng, Ph.D. Candidate (joint with Zhou, W.), 2020-present
- Lu, Hongyang, Ph.D. Candidate (joint with Zhao, Y.), 2022-present
- Jiang, Tianyi, Ph.D. Candidate, 2023-present
- Krastev, Eva, Ph.D. Candidate (joint with Wang, T.), 2024-present
- Cao, Xiaofan. 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. A penalized estimation procedure for varying coefficient models. Fall, 2015.
- Tan, Hongyu. 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.
- Rimkus, Mantautas. Application of statistical and deep learning methods to power grids. Summer 2023, joint with Kokoszka, P.
- Adams, Addison. A novel approach to statistical problems without identifiability. Summer 2024, joint with Zhou, T.
- Stanton, Gray. Multi-channel factor analysis: properties, extensions, and applications. Fall 2024, joint with Scharf, L.
- 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.