2 papers
stat.ME2023
A generative approach to frame-level multi-competitor races
Tyrel Stokes, Gurashish Bagga, Kimberly Kroetch +2
Multi-competitor races often feature complicated within-race strategies that are difficult to capture when training data on race outcome level data. Further, models which do not ac…
stat.ML2022
A Non-Parametric Bootstrap for Spectral Clustering
Liam Welsh, Phillip Shreeves
Finite mixture modelling is a popular method in the field of clustering and is beneficial largely due to its soft cluster membership probabilities. A common method for fitting fini…