research
∙
09/04/2023
Hierarchical Regression Discontinuity Design: Pursuing Subgroup Treatment Effects
Regression discontinuity design (RDD) is widely adopted for causal infer...
share
research
∙
11/24/2022
Local polynomial regression for spatial data on ℝ^d
This paper develops a general asymptotic theory of local polynomial (LP)...
research
∙
10/31/2022
Shrinkage Methods for Treatment Choice
This study examines the problem of determining whether to treat individu...
research
∙
07/06/2022
Adaptive deep learning for nonparametric time series regression
In this paper, we develop a general theory for adaptive nonparametric es...
research
∙
08/26/2021
Robust and Efficient Empirical Bayes Confidence Intervals using γ-Divergence
Although parametric empirical Bayes confidence intervals of multiple nor...
research
∙
05/25/2021
On the estimation of locally stationary functional time series
This paper develops an asymptotic theory for estimating the time-varying...
research
∙
05/17/2021
Nonparametric regression for locally stationary functional time series
In this study, we develop an asymptotic theory of nonparametric regressi...
research
∙
03/19/2021
Gaussian approximation and spatially dependent wild bootstrap for high-dimensional spatial data
In this paper, we establish a high-dimensional CLT for the sample mean o...
research
∙
05/13/2020
Nonparametric regression for locally stationary random fields under stochastic sampling design
In this paper, we introduce nonparametric regression framework for local...
research
∙
04/25/2018
On nonparametric inference for spatial regression models under domain expanding and infill asymptotics
In this paper, we develop nonparametric inference on spatial regression ...
research
∙
04/25/2018
On nonparametric inference for spatial regression models under domain expanding and infill observations
In this paper, we develop nonparametric inference on spatial regression ...
research
∙
03/23/2018