1 citations · 1 across the 2 of their papers we have counts for
3 papers
stat.CO2020★ 1 cited
A Simple Correction Procedure for High-Dimensional Generalized Linear Models with Measurement Error
Michael Byrd, Monnie McGee
We consider high-dimensional generalized linear models when the covariates are contaminated by measurement error. Estimates from errors-in-variables regression models are well-know…
stat.ME2019
Bayesian Regularization of Gaussian Graphical Models with Measurement Error
Michael Byrd, Linh Nghiem, Monnie McGee
We consider a framework for determining and estimating the conditional pairwise relationships of variables when the observed samples are contaminated with measurement error in high…
stat.ME2018
Estimation in linear errors-in-variables models with unknown error distribution
Linh Nghiem, Michael Byrd, Cornelis Potgieter
Parameter estimation in linear errors-in-variables models typically requires that the measurement error distribution be known (or estimable from replicate data). A generalized meth…