101 citations · 294 across the 22 of their papers we have counts for
5 papers · 2 filters
Finite Sample Hypothesis Tests for Stacked Estimating Equations
Eli S. Kravitz, Raymond J. Carroll, David Ruppert
Suppose there are two unknown parameters, each parameter is the solution to an estimating equation, and the estimating equation of one parameter depends on the other parameter. The…
Sample Splitting as an M-Estimator with Application to Physical Activity Scoring
Eli S. Kravitz, Raymond J. Carroll, David Ruppert
Sample splitting is widely used in statistical applications, including classically in classification and more recently for inference post model selection. Motivating by problems in…
Optimal Sampling for Generalized Linear Models under Measurement Constraints
Tao Zhang, Yang Ning, David Ruppert
Under "measurement constraints," responses are expensive to measure and initially unavailable on most of records in the dataset, but the covariates are available for the entire dat…
Density Estimation on a Network
Yang Liu, David Ruppert
This paper develops a novel approach to density estimation on a network. We formulate nonparametric density estimation on a network as a nonparametric regression problem by binning…
Copula-based functional Bayes classification with principal components and partial least squares
Wentian Huang, David Ruppert
We present a new functional Bayes classifier that uses principal component (PC) or partial least squares (PLS) scores from the common covariance function, that is, the covariance f…