The EM algorithm is a popular tool for maximum likelihood estimation but...
CensSpatial is an R package for analyzing spatial censored data through
...
This paper develops recurrence relations for integrals that relate the
d...
Finite mixture models have been widely used to model and analyze data fr...
Nonlinear mixed effects models have received a great deal of attention i...
In this paper, we compute doubly truncated moments for the selection
ell...
The analysis of complex longitudinal data such as COVID-19 deaths is
cha...
The choice of the prior distribution is a key aspect of Bayesian analysi...
In longitudinal studies, repeated measures are collected over time and h...
In this paper, we introduce a new approach to generate flexible parametr...