activity
20072025
most citedFast Covariance Estimation for High-dimensional Functional Data

101 citations · 294 across the 22 of their papers we have counts for

collaborators
Showing math.STShow all

6 papers · 1 filter

math.ST2025

Bayesian analysis of regression discontinuity designs with heterogeneous treatment effects

Kevin Tao, Y. Samuel Wang, David Ruppert

Regression Discontinuity Design (RDD) is a popular framework for estimating a causal effect in settings where treatment is assigned if an observed covariate exceeds a fixed thresho…

math.ST2020★ 2 cited

Bootstrap inference for quantile-based modal regression

Tao Zhang, Kengo Kato, David Ruppert

In this paper, we develop uniform inference methods for the conditional mode based on quantile regression. Specifically, we propose to estimate the conditional mode by minimizing t…

math.ST2017★ 1 cited

Profile Estimation for Partial Functional Partially Linear Single-Index Model

Qingguo Tang, Linglong Kong, David Ruppert +1

This paper studies a \textit{partial functional partially linear single-index model} that consists of a functional linear component as well as a linear single-index component. This…

math.ST2013★ 1 cited

Optimal Prediction in an Additive Functional Model

Xiao Wang, David Ruppert

The functional generalized additive model (FGAM) provides a more flexible nonlinear functional regression model than the well-studied functional linear regression model. This paper…

math.ST2009★ 3 cited

Local Asymptotics of P-Spline Smoothing

Xiao Wang, Jinglai Shen, David Ruppert

This paper addresses asymptotic properties of general penalized spline estimators with an arbitrary B-spline degree and an arbitrary order difference penalty. The estimator is appr…

math.ST2007★ 4 cited

Discussion: Conditional growth charts

Raymond J. Carroll, David Ruppert

Discussion of Conditional growth charts [math.ST/0702634]