626 citations · 1.4k across the 31 of their papers we have counts for
3 papers · 2 filters
Models as Approximations II: A Model-Free Theory of Parametric Regression
Andreas Buja, Lawrence Brown, Arun Kumar Kuchibhotla +3
We develop a model-free theory of general types of parametric regression for iid observations. The theory replaces the parameters of parametric models with statistical functionals,…
Semi-Supervised linear regression
David Azriel, Lawrence D. Brown, Michael Sklar +3
We study a regression problem where for some part of the data we observe both the label variable () and the predictors (), while for other part of the data only the pre…
Optimal shrinkage estimation of mean parameters in family of distributions with quadratic variance
Xianchao Xie, S. C. Kou, Lawrence Brown
This paper discusses the simultaneous inference of mean parameters in a family of distributions with quadratic variance function. We first introduce a class of semiparametric/param…