Guo, Z. (2020).
Statistical Inference for Maximin Effects: Identifying Stable Associations across Multiple Studies .
Minor Revision at Journal of the American Statistical Association [Codes]

Guo, Z., Li, X., Han, L., and Cai Tianxi (2023).
Robust Inference for Federated Meta-Learning
Technical Report [Codes]

*Cai, T., Guo, Z. and Xia, Y. (2023).
Statistical Inference and Large-scale Multiple Testing for High-dimensional Regression Models
Technical Report [Codes]

*Fan, Q., Guo, Z., and Mei, Z. (2022).
Testing Overidentifying Restrictions with High-Dimensional Data and Heteroskedasticity
Technical Report

Hou, J., Guo, Z., and Cai, Tianxi .(2021).
Surrogate Assisted Semi-supervised Inference for High Dimensional Risk Prediction.
Technical Report

Guo, Z. , Cevid, D., and Bühlmann, P. (2021+).
Doubly Debiased Lasso: High-Dimensional Inference under Hidden Confounding.
Annals of Statistics, 50 (3), 1320 - 1347. [Codes]

Ma, R.,Guo, Z., Cai, T. T., and Li, H. (2020).
Statistical Inference for Genetic Relatedness Based On High-Dimensional Logistic Regression.
To appear in Statistica Sinica. [Codes]

Rakshit, P., Wang, Z., Cai, T. T., and Guo, Z. (2021).
SIHR: An R Package for Statistical Inference in High-dimensional Linear and Logistic Regression Models.
Technical Report [Codes]

* Cai, T. T., Guo, Z., and Ma, R. (2021+).
Statistical Inference for High-Dimensional Generalized Linear Models with Binary Outcomes.
To appear in Journal of the American Statistical Association. [Codes]

Guo, Z., Yuan W. and Zhang, C. (2019).
Local Inference in Additive Models with Decorrelated Local Linear Estimator.
Technical Report [Codes]

Guo, Z., Rakshit, P., Herman, D., and Chen, J. (2021).
Inference for Case Probability in High-dimensional Logistic Regression.
Journal of Machine Learning Research, 22(254), 1-54 [Codes]

Guo, Z., Renaux, C., Bühlmann, P., and Cai, T. T. (2021).
Group Inference in High Dimensions with Applications to Hierarchical Testing.
Electronic Journal of Statistics, 15(2), 6633-6676. [Codes]

Guo, Z. and Zhang, C. (2022).
Extreme Nonlinear Correlation for Multiple Random Variables and Stochastic Processes with Applications to Additive Models.
Stochastic Processes and Their Applications, 150, 1037-1058

* Cai, T, Cai, T. T. and Guo, Z. (2021).
Optimal Statistical Inference for Individualized Treatment Effects in High-dimensional Models.
Journal of the Royal Statistical Society: Series B, 2021, 83(4): 669-719. [Codes]

* Cai, T. T. and Guo, Z. (2020).
Semi-supervised Inference for Explained Variance in High-dimensional Linear Regression and Its Applications.
Journal of the Royal Statistical Society: Series B, 82(2), 391-419. [Codes]

Guo, Z., Wang, W., Cai, T. T. and Li, H. (2019).
Optimal Estimation of Genetic Relatedness in High-dimensional Linear Models.
Journal of the American Statistical Association, 114(525), 358-369. [Codes]

Guo, Z., Kang, H., Cai, T. T. and Small, D. S. (2018).
Testing Endogeneity with High Dimensional Covariates.
The Journal of Econometrics, 207(1), 175-187. [Codes]

Guo, Z., Kang, H., Cai, T. T. and Small, D. S. (2018).
Confidence Intervals for Causal Effects with Invalid Instruments using Two-Stage Hard Thresholding with Voting.
Journal of the Royal Statistical Society: Series B, 80(4), 793-815. [Codes]

Causal Inference with Instrumental Variables