Xinran Li
Xinran Li
Email verificata su illinois.edu - Home page
Titolo
Citata da
Citata da
Anno
General forms of finite population central limit theorems with applications to causal inference
X Li, P Ding
Journal of the American Statistical Association 112 (520), 1759-1769, 2017
812017
Asymptotic theory of rerandomization in treatment–control experiments
X Li, P Ding, DB Rubin
Proceedings of the National Academy of Sciences 115 (37), 9157-9162, 2018
512018
Exact confidence intervals for the average causal effect on a binary outcome
X Li, P Ding
Statistics in medicine 35 (6), 957-960, 2016
212016
Rerandomization and regression adjustment
X Li, P Ding
Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2019
182019
Bridging Finite and Super Population Causal Inference
P Ding, X Li, LW Miratrix
Journal of Causal Inference 5 (2), 2017
152017
On the optimality of sliced inverse regression in high dimensions
Q Lin, X Li, D Huang, JS Liu
Annals of Statistics 49 (1), 1-20, 2021
13*2021
Randomization inference for peer effects
X Li, P Ding, Q Lin, D Yang, JS Liu
Journal of the American Statistical Association 114 (528), 1651-1664, 2019
102019
Rerandomization in factorial experiments
X Li, P Ding, DB Rubin
The Annals of Statistics 48 (1), 43-63, 2020
82020
A Multi-resolution Theory for Approximating Infinite-p-Zero-n: Transitional Inference, Individualized Predictions, and a World Without Bias-Variance Trade-off
X Li, XL Meng
Journal of the American Statistical Association, 1-39, 2020
32020
Bayesian Analysis of Rank Data with Covariates and Heterogeneous Rankers
X Li, D Yi, JS Liu
arXiv preprint arXiv:1607.06051, 2016
32016
Randomization Inference beyond the Sharp Null: Bounded Null Hypotheses and Quantiles of Individual Treatment Effects
D Caughey, A Dafoe, X Li, L Miratrix
arXiv preprint arXiv:2101.09195, 2021
2021
Il sistema al momento non pu eseguire l'operazione. Riprova pi tardi.
Articoli 1–11