research
∙
05/26/2022
Sensitivity Analysis for Causal Decomposition Analysis: Assessing Robustness Toward Omitted Variable Bias
A key objective of decomposition analysis is to identify a factor (the '...
share
research
∙
08/12/2021
Statistical Learning using Sparse Deep Neural Networks in Empirical Risk Minimization
We consider a sparse deep ReLU network (SDRN) estimator obtained from em...
research
∙
03/10/2021
A fusion learning method to subgroup analysis for longitudinal trajectories
Uncovering the heterogeneity in the disease progression of Alzheimer's i...
research
∙
09/15/2020
Efficient Estimation of General Treatment Effects using Neural Networks with A Diverging Number of Confounders
The estimation of causal effects is a primary goal of behavioral, social...
research
∙
05/07/2020
Detecting Latent Communities in Network Formation Models
This paper proposes a logistic undirected network formation model which ...
research
∙
03/10/2020
Multivariate Functional Regression via Nested Reduced-Rank Regularization
We propose a nested reduced-rank regression (NRRR) approach in fitting r...
research
∙
12/25/2018
Optimal Treatment Selection Using the Covariate-Specific Treatment Effect Curve with High-dimensional Covariates
In this paper, we propose a new semi-parametric modeling strategy for he...
research
∙
09/04/2018
