Datasets with extreme observations and/or heavy-tailed error distributio...
Feedforward neural networks (FNNs) can be viewed as non-linear regressio...
Process visualizations of data from manufacturing execution systems (MES...
We consider a parametric modelling approach for survival data where
cova...
Modern variable selection procedures make use of penalization methods to...
Confidence interval performance is typically assessed in terms of two
cr...
Analysis of temporal network data arising from online interactive social...
In this paper we present a new methodology to model patient transitions ...
Multi-parameter regression (MPR) modelling refers to the approach whereb...
We develop flexible multi-parameter regression survival models for inter...
We consider a log-linear model for survival data, where both the locatio...
Parameter estimation in Coxian phase-type models can be challenging due ...
It is standard practice for covariates to enter a parametric model throu...
We introduce a general, flexible, parametric survival modelling framewor...
We are concerned with the flexible parametric analysis of bivariate surv...
We propose a new likelihood approach for estimation, inference and varia...