3 papers
stat.AP2020
Defying the Circadian Rhythm: Clustering Participant Telemetry in the UK Biobank Data
Nikola Pocuca, Mark Farrell, Paul D. McNicholas
The UK Biobank dataset follows over 500,000 volunteers and contains a diverse set of information related to societal outcomes. Among this vast collection, a large quantity of telem…
stat.ME2019
Assessing and Visualizing Matrix Variate Normality
Nikola Pocuca, Michael P. B. Gallaugher, Katharine M. Clark +1
A framework for assessing the matrix variate normality of three-way data is developed. The framework comprises a visual method and a goodness of fit test based on the Mahalanobis s…
stat.AP2018
Modeling Frequency and Severity of Claims with the Zero-Inflated Generalized Cluster-Weighted Models
Nikola Pocuca, Petar Jevtic, Paul D. McNicholas +1
In this paper, we propose two important extensions to cluster-weighted models (CWMs). First, we extend CWMs to have generalized cluster-weighted models (GCWMs) by allowing modeling…