Objective: The multivariate autoregression (MVAR) model is an effective model to construct
brain causality networks. However, the accuracy of MVAR parameter estimation is …

We consider the analysis of continuous repeated measurement outcomes that are collected
longitudinally. A standard framework for analysing data of this kind is a linear Gaussian …

The integrated energy system is a complex energy system that involves multi-stakeholder
and multi-energy coordinated operations. The key to improving its scale and sustainable …

In the analysis of repeated or clustered measurements, it is crucial to determine the
dynamics that affect the mean, variance, and correlations of the data, which will be possible …

This paper presents a robust method for dealing with switching regression problems.
Regression models with switch-points are broadly employed in diverse areas. Many …

In small area estimation (SAE), using direct conventional methods will not lead to reliable
estimates because the sample size is small compared to the population. Small Area …

Extreme value theory (EVT) provides an elegant mathematical tool for the statistical analysis
of rare events. When data are collected from multiple population subgroups, because some …

We propose a new family of linear mixed-effects models based on the generalized Laplace
distribution. Special cases include the classical normal mixed-effects model, models with …

Background Two-dimensional personalized medicine (2-PM) models are tools for
measuring individual benefits of medical treatments for chronic diseases which have …

We consider the analysis of continuous repeated measurement outcomes that are collected
through time, also known as longitudinal data. A standard framework for analysing data of …