Joint mean-covariance regression modeling with unconstrained parametrization for continuous longitudinal data has provided statisticians and practitioners with a powerful analytical device. How to ...

In statistical testing for high dimensional data, the multiple testing problem makes it difficult to discover true causes of biological and clinical phenomena. The primal aim of this project is to ...

Discrete Global Grid Systems (DGGS) have emerged as a robust framework for organising and analysing geospatial data across the entire Earth. By partitioning the globe into a hierarchy of optimally ...

In political science, data with heterogeneous units are used in many studies, such as those involving legislative proposals in different policy areas, electoral choices by different types of voters, ...