10 citations · 12 across the 5 of their papers we have counts for
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A Multi-resolution Theory for Approximating Infinite--Zero-: Transitional Inference, Individualized Predictions, and a World Without Bias-Variance Trade-off
Xinran Li, Xiao-Li Meng
Transitional inference is an empiricism concept, rooted and practiced in clinical medicine since ancient Greece. Knowledge and experiences gained from treating one entity are appli…
Rerandomization and Regression Adjustment
Xinran Li, Peng Ding
Randomization is a basis for the statistical inference of treatment effects without strong assumptions on the outcome-generating process. Appropriately using covariates further yie…
Rerandomization in Factorial Experiments
Xinran Li, Peng Ding, Donald B. Rubin
With many pretreatment covariates and treatment factors, the classical factorial experiment often fails to balance covariates across multiple factorial effects simultaneously. Ther…
Bridging Finite and Super Population Causal Inference
Peng Ding, Xinran Li, Luke W. Miratrix
There are two general views in causal analysis of experimental data: the super population view that the units are an independent sample from some hypothetical infinite populations,…
On the optimality of sliced inverse regression in high dimensions
Qian Lin, Xinran Li, Dongming Huang +1
The central subspace of a pair of random variables is the minimal subspace such that …