4 citations · 7 across the 3 of their papers we have counts for
3 papers
stat.ME2021★ 3 cited
Multivariate Generalised Linear Mixed Models With Graphical Latent Covariance Structure
Jeanett S. Pelck, Rodrigo Labouriau
This paper introduces a method for studying the correlation structure of a range of responses modelled by a multivariate generalised linear mixed model (MGLMM). The methodology req…
stat.ME2021★ 4 cited
Conditional Inference for Multivariate Generalised Linear Mixed Models
Jeanett S. Pelck, Rodrigo Labouriau
We propose a method for inference in generalised linear mixed models (GLMMs) and several extensions of these models. First, we extend the GLMM by allowing the distribution of the r…
math.ST2020
On the Bias of the Score Function of Finite Mixture Models
Rodrigo Labouriau
We characterise the unbiasedness of the score function, viewed as an inference function for a class of finite mixture models. The models studied represent the situation where there…