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Zijian Guo
Zijian Guo
Associate Professor of Statistics, Rutgers University
Bestätigte E-Mail-Adresse bei stat.rutgers.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Confidence intervals for high-dimensional linear regression: Minimax rates and adaptivity
TT Cai, Z Guo
Annals of Statistics 45 (2), 615-646, 2017
2412017
Confidence intervals for causal effects with invalid instruments by using two‐stage hard thresholding with voting
Z Guo, H Kang, T Tony Cai, DS Small
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2018
1372018
Semi-supervised inference for explained variance in high dimensional linear regression and its applications
T Tony Cai, Z Guo
Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2020
832020
Control function instrumental variable estimation of nonlinear causal effect models
Z Guo, DS Small
Journal of Machine Learning Research 17 (100), 1-35, 2016
652016
Optimal estimation of genetic relatedness in high-dimensional linear models
Z Guo, W Wang, TT Cai, H Li
Journal of the American Statistical Association 114 (525), 358-369, 2019
62*2019
Statistical inference for high-dimensional generalized linear models with binary outcomes
TT Cai, Z Guo, R Ma
Journal of the american statistical association 118 (542), 1319-1332, 2023
492023
Accuracy assessment for high-dimensional linear regression
TT Cai, Z Guo
The Annals of Statistics 46 (4), 1807-1836, 2018
482018
Optimal statistical inference for individualized treatment effects in high-dimensional models
T Cai, T Tony Cai, Z Guo
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2021
45*2021
Mediation analysis for count and zero-inflated count data
J Cheng, NF Cheng, Z Guo, S Gregorich, AI Ismail, SA Gansky
Statistical methods in medical research 27 (9), 2756-2774, 2018
432018
Group inference in high dimensions with applications to hierarchical testing
Z Guo, C Renaux, P Bühlmann, T Cai
Electronic Journal of Statistics 15 (2), 6633-6676, 2021
422021
Using an instrumental variable to test for unmeasured confounding
Z Guo, J Cheng, SA Lorch, DS Small
Statistics in medicine 33 (20), 3528-3546, 2014
422014
Doubly debiased lasso: High-dimensional inference under hidden confounding
Z Guo, D Ćevid, P Bühlmann
Annals of statistics 50 (3), 1320, 2022
38*2022
Testing endogeneity with high dimensional covariates
Z Guo, H Kang, TT Cai, DS Small
Journal of Econometrics 207 (1), 175-187, 2018
38*2018
SurvMaximin: robust federated approach to transporting survival risk prediction models
X Wang, HG Zhang, X Xiong, C Hong, GM Weber, GA Brat, CL Bonzel, ...
Journal of biomedical informatics 134, 104176, 2022
312022
Inference for the case probability in high-dimensional logistic regression
Z Guo, P Rakshit, DS Herman, J Chen
Journal of Machine Learning Research 22 (254), 1-54, 2021
272021
Statistical inference for maximin effects: Identifying stable associations across multiple studies
Z Guo
Journal of the American Statistical Association, 1-32, 2024
20*2024
Boundary value problems for a family of domains in the Sierpinski gasket
Z Guo, R Kogan, H Qiu, RS Strichartz
Illinois Journal of Mathematics 58 (2), 497-519, 2014
192014
Causal inference with invalid instruments: post-selection problems and a solution using searching and sampling
Z Guo
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2023
17*2023
Robust inference for federated meta-learning
Z Guo, X Li, L Han, T Cai
Journal of the American Statistical Association, 1-16, 2025
152025
Surrogate assisted semi-supervised inference for high dimensional risk prediction
J Hou, Z Guo, T Cai
Journal of Machine Learning Research 24 (265), 1-58, 2023
142023
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