151 citations · 222 across the 5 of their papers we have counts for
6 papers
cgam: An R Package for the Constrained Generalized Additive Model
Xiyue Liao, Mary C. Meyer
The cgam package contains routines to fit the generalized additive model where the components may be modeled with shape and smoothness assumptions. The main routine is cgam and nin…
Estimation and inference of domain means subject to shape constraints
Cristian Oliva-Aviles, Mary C. Meyer, Jean D. Opsomer
Population domain means are frequently expected to respect shape or order constraints that arise naturally with survey data. For example, given a job category, mean salaries in big…
Checking validity of monotone domain mean estimators
Cristian Oliva-Aviles, Mary C. Meyer, Jean D. Opsomer
Estimates of population characteristics such as domain means are often expected to follow monotonicity assumptions. Recently, a method to adaptively pool neighboring domains was pr…
Testing against a linear regression model using ideas from shape-restricted estimation
Bodhisattva Sen, Mary Meyer
A formal likelihood ratio hypothesis test for the validity of a parametric regression function is proposed, using a large-dimensional, nonparametric double cone alternative. For ex…
Inference using shape-restricted regression splines
Mary C. Meyer
Regression splines are smooth, flexible, and parsimonious nonparametric function estimators. They are known to be sensitive to knot number and placement, but if assumptions such as…
Estimating a Polya frequency function_2
Jayanta Kumar Pal, Michael Woodroofe, Mary Meyer
We consider the non-parametric maximum likelihood estimation in the class of Polya frequency functions of order two, viz. the densities with a concave logarithm. This is a subclass…