High Dimensional Regression Analysis
- ^{*} Cai, T. T. and Guo, Z. (2015).
Confidence Intervals for High-Dimensional Linear Regression: Minimax Rates and Adaptivity.
The Annals of Statistics, 45(2), 615-646.
- ^{*} Cai, T. T. and Guo, Z. (2016).
Accuracy Assessment for High-dimensional Linear Regression.
The Annals of Statistics, to appear.
- Guo, Z., Wang, W., Cai, T. T. and Li, H. (2016).
Optimal Estimation of Genetic Relatedness in High-dimensional Linear Models.
Technical Report.
IMS Travel Award, JSM 2017
* indicates alphabetical ordering authorship.
High Dimensional Causal Inference / Econometrics
- Guo, Z., Kang, H., Cai, T. T. and Small, D. S. (2016).
Testing Endogeneity with High Dimensional Covariates.
Technical Report.
- Guo, Z., Kang, H., Cai, T. T. and Small, D. S. (2016).
Confidence Intervals for Causal Effects with Invalid In- struments using Two-Stage Hard Thresholding with Voting.
Technical Report.
Causal Inference / Econometrics
- Guo, Z., Small, D. S., Gansky, S. A. and Cheng, J. (2016).
Mediation Analysis for Count and Zero-Inflated Count Data without Sequential Ignorability.
Journal of the Royal Statistical Society: Series C, to appear.
- Cheng J., Cheng, N. F., Guo, Z., Gregorich, S., Ismail, A. I. and Gansky, S. A. (2016).
Mediation Analysis for Count and Zero-Inflated Count Data.
Statistical Methods in Medical Research, to appear.
- Guo, Z. and Small, D. S. (2014).
Control Function Instrumental Variable Estimation of Nonlinear Causal Effect Models.
Journal of Machine Learning Research, 17(100):1-35, 2016.
- Guo, Z., Cheng, J.,Lorch, S. A. and Small, D. S. (2014).
Using an Instrumental Variable to Test for Unmeasured Confounding.
Statistics in Medicine, 33, 3528 - 3546.
Young Investigator Award, Section on Statistics in Epidemiology, JSM 2013
Collaborative Project
- Lowder, E. M., Desmarais, S. L., Guo, Z., Coffey, T. and Van Dorn, R. A. (2016).
Criminal justice outcomes and behavioral health utilization following receipt of SSI/SSDI benefits.
Submitted.
Fractal Analysis