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Acknowledgement of grant support:

  • PI, NSF, DMS-1916237. 2019-2022.
  • PI, NSF, IIS-1633212. 2016-2019.
  • PI, NSF, DMS-1613112. 2016-2019.
  • PI, NSF, DMS–1309619. 2013-2015.

Publications:

  • Gong, S., Zhang, K., and Liu, Y. (2019). Penalized linear regression with high-dimensional pairwise screening, Statistica Sinica, to appear.
  • Zhang, K. (2019). BET on Independence, Journal of the American Statistical Association, 114, 1620-1637. Paper.
  • Gong, S., Zhang, K., and Liu, Y. (2018). Efficient Testing-based Variable Selection for High-dimensional Linear Models, Journal of Multivariate Analysis, 166, 17-31.
  • Bodwin, K., Zhang, K., and Nobel, A. (2018). A Testing-based Approach to the Discovery of Differentially Correlated Variable Sets. Annals of Applied Statistics, 12(2), 1180-1203.
  • Zhang, K. (2017). Spherical Cap Packing Asymptotics and Rank-Extreme Detection. IEEE Transactions on Information Theory, 63(7), 4572-4584. Paper.
  • Yu, Q., Risk, B., Zhang, K., and Marron, J. S. (2017). JIVE Integration of Imaging and Behavioral Data. NeuroImage. 152, 38-49. Paper.
  • Buja, A., Berk, R., Brown, L. D., George, E., Pitkin, E., Traskin, M., Zhao, L., and Zhang, K. (2017). Models as Approximations —A Conspiracy of Random Predictors and Model Violations against Classical Inference in Regression. Statistical Science, accepted. Paper.
  • McCarthy, D., Zhang, K., Brown, L. D., Berk, R., Buja, A., George, E. and Zhao, L. (2017). Calibrated Percentile Double Bootstrap for Robust Linear Regression Inference. Statistica Sinica, accepted. Paper.
  • Lu, S., Liu, Y., Yin, L. and Zhang, K. (2017). Confidence Intervals and Regions for the LASSO Using Stochastic Variational Inequality Techniques in Optimization. Journal of the Royal Statistical Society, Series B, 79(2), 589-611. Paper.
  • Chen, D., Chen, X., and Zhang, K. (2016). An Exploratory Statistical Cusp Catastrophe Model. 2016 IEEE International Conference on Data Science and Advanced Analytics, Montreal, Canada, October. Paper.
  • Zhang. K. and Chen. D. (2016). Overcoming the Computing Barriers in Statistical Causal Inference. Statistical Causal Inferences and Their Applications in Public Health Research. 125-137, H. He et al. ed., ICSA Book Series in Statistics, Springer. Paper.
  • Brown, M., Koroluk, L. D., Ko, C., Zhang, K., Chen, M. and Nguyen, T. (2015). Effectiveness and Efficiency of a CAD/CAM-designed Orthodontic Bracket System. American Journal of Orthodontics & Dentofacial Orthopedics, 148, 6, 1067–1074. Paper.
  • Zhang, K., Brown, L. D., George, E. and Zhao, L. (2014). Uniform Correlation Mixture of Bivariate Normal Distributions and Hypercubically-contoured Densities That Are Marginally Normal. The American Statistician, 68(3), 183-187. Paper.
  • Berk, R., Brown, L. D., Buja, A., George, E., Pitkin, E., Zhang, K. and Zhao, L. (2014). Misspecified Mean Function Regression: Making Good Use of Regression Models That Are Wrong. Sociological Methods and Research, 43, 422-451. Paper.
  • Berk, R., Brown, L., George, E., Pitkin, E., Traskin, M., Zhang, K. and Zhao, L. (2013). What You Can Learn From Wrong Causal Models. Handbook of Causal Analysis for Social Research, 400-424, S. Morgan, ed., New York: Springer. Paper.
  • Berk, R., Brown, L. D., Buja, A., Zhang, K. and Zhao, L. (2013). Valid Post-Selection Inference. The Annals of Statistics, 41(2), 802-837. Paper.
  • Zhang, K., Traskin, M. and Small, D. (2012). A Powerful and Robust Test Statistic for Randomization Inference in Group-Randomized Trials with Matched Pairs of Groups. Biometrics, Volume 68, 75-84. Paper.
  • Zhang, K., Small, D., Lorch, S., Srinivas, S. and Rosenbaum, P. (2011). Using Split Samples and Evidence Factors in an Observational Study of Neonatal Outcomes. Journal of the American Statistical Association, Volume 106, 511-524. Paper.
  • Piette, J., Anand, S. and Zhang, K. (2010). Scoring and Shooting Abilities of NBA Players. Journal of Quantitative Analysis in Sports: Vol. 6 : Iss. 1 , Article 1. Paper.
  • Zhang, K. and Small, D. (2009). Comment: The Essential Role of Pair Matching in Cluster Randomized Experiments with Application to the Mexican Universal Health Insurance Evaluation. Statistical Science, Volume 24 , Number 1, 59-64. Paper.
  • Zhang, K. (2008). Limiting Distribution of Decoherent Quantum Random Walks. Physical Review A, 77, 062302. Paper.
  • Yang, W., Liu, C. and Zhang, K. (2007). A Path Integral Formula with Applications to Quantum Random Walks in Zd. Journal of Physics, Volume A 40-8487-8516. Paper.