In the world of data analysis and statistics, continuous and discrete data play fundamental roles. These two types of quantitative data serve different purposes as people use them to draw valuable ...

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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 ...

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, ...

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 ...

We obtain a necessary and sufficient condition under which random-coefficient discrete choice models, such as mixed-logit models, are rich enough to approximate any nonparametric random utility models ...