Stochastic variational inference algorithms are derived for fitting vari...
A recent article on generalised linear mixed model asymptotics, Jiang et...
Linear mixed models are a versatile statistical tool to study data by
ac...
Structural equation models are commonly used to capture the structural
r...
We present a framework for fitting inverse problem models via variationa...