A principled approach to the analysis of eye movements for behavioural biometrics is laid
down. The approach grounds in foraging theory, which provides a sound basis to capture …

Relational event network data are becoming increasingly available. Consequently, statistical
models for such data have also surfaced. These models mainly focus on the analysis of …

In this paper, we provide a comparison of implementations of Bayesian estimation of mixed
multinomial logit (MMNL) models. Our objective is to provide a systematic comparison of the …

One-shirt-size policy cannot handle poverty issues well since each area has its unique
challenges, while having a custom-made policy for each area separately is unrealistic due to …

Sampling from matrix generalized inverse Gaussian (MGIG) distributions is required in
Markov chain Monte Carlo (MCMC) algorithms for a variety of statistical models. However …

The paper considers the problem of estimating a multivariate probit model in a panel data
setting with emphasis on sampling a high dimensional correlation matrix and improving the …

In practice, risk measurement of the majority of enterprise-level portfolios, and even many
investment portfolios, requires stressing the correlation matrix directly, rather than (solely) …

Biomedical count data such as the number of seizures for epilepsy patients, number of new
tumors at each visit or the number vomiting after each chemo-radiation for the cancer …

A longitudinal study is an experimental design which takes repeated measurements of some
variables from a study cohort over a specified time period. This induces a correlation …