25 citations · 25 across the 1 of their papers we have counts for
2 papers
stat.ME2018
Toward a diagnostic toolkit for linear models with Gaussian-process distributed random effects
Maitreyee Bose, James S. Hodges, Sudipto Banerjee
Gaussian processes (GPs) are widely used as distributions of random effects in linear mixed models, which are fit using the restricted likelihood or the closely-related Bayesian an…
stat.ME2017★ 25 cited
Detecting Multiple Random Changepoints in Bayesian Piecewise Growth Mixture Models
Eric F Lock, Nidhi Kohli, Maitreyee Bose
Piecewise growth mixture models (PGMM) are a flexible and useful class of methods for analyzing segmented trends in individual growth trajectory over time, where the individuals co…