1 citations · 1 across the 4 of their papers we have counts for
4 papers
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…
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…
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…
Lagged Exact Bayesian Online Changepoint Detection with Parameter Estimation
Michael Byrd, Linh Nghiem, Jing Cao
Identifying changes in the generative process of sequential data, known as changepoint detection, has become an increasingly important topic for a wide variety of fields. A recentl…