activity
20132023
most citedUncertainty Quantification for High Dimensional Sparse Nonparametric Additive Models

3 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

stat.ME2023

Efficient Treatment Effect Estimation with Out-of-bag Post-stratification

Taebin Kim, Lili Wang, Randy Lai +1

Post-stratification is often used to estimate treatment effects with higher efficiency. However, the majority of existing post-stratification frameworks depend on prior knowledge o…

stat.CO2018

Method G: Uncertainty Quantification for Distributed Data Problems using Generalized Fiducial Inference

Randy C. S. Lai, J. Hannig, Thomas C. M. Lee

It is not unusual for a data analyst to encounter data sets distributed across several computers. This can happen for reasons such as privacy concerns, efficiency of likelihood eva…

stat.ME2017★ 3 cited

Uncertainty Quantification for High Dimensional Sparse Nonparametric Additive Models

Qi Gao, Randy C. S. Lai, Thomas C. M. Lee +1

Statistical inference in high dimensional settings has recently attracted enormous attention within the literature. However, most published work focuses on the parametric linear re…

stat.ME2017

Covariance Estimation via Fiducial Inference

W. Jenny Shi, Jan Hannig, Randy C. S. Lai +1

As a classical problem, covariance estimation has drawn much attention from the statistical community for decades. Much work has been done under the frequentist and the Bayesian fr…

stat.ME2013★ 1 cited

Generalized Fiducial Inference for Ultrahigh Dimensional Regression

Randy C. S. Lai, Jan Hannig, Thomas C. M. Lee

In recent years the ultrahigh dimensional linear regression problem has attracted enormous attentions from the research community. Under the sparsity assumption most of the publish…