2 papers
stat.ME2023
Powerful Significance Testing for Unbalanced Clusters
Thomas H. Keefe, J. S. Marron
Clustering methods are popular for revealing structure in data, particularly in the high-dimensional setting common to contemporary data science. A central statistical question is,…
stat.CO2021
yaglm: a Python package for fitting and tuning generalized linear models that supports structured, adaptive and non-convex penalties
Iain Carmichael, Thomas Keefe, Naomi Giertych +1
The yaglm package aims to make the broader ecosystem of modern generalized linear models accessible to data analysts and researchers. This ecosystem encompasses a range of loss fun…