1 citations · 1 across the 2 of their papers we have counts for
2 papers
stat.ME2023
Identification of Parkinson's Disease Subtypes with Divisive Hierarchical Bayesian Clustering for Longitudinal and Time-to-Event Data
Elliot Burghardt, Daniel Sewell, Joseph Cavanaugh
In heterogeneous disorders like Parkinson's disease (PD), differentiating the affected population into subgroups plays a key role in future research. Discovering subgroups can lead…
stat.ME2022★ 1 cited
Fast, effective, and coherent time series modeling using the sparsity-ranked lasso
Ryan Peterson, Joseph Cavanaugh
The sparsity-ranked lasso (SRL) has been developed for model selection and estimation in the presence of interactions and polynomials. The main tenet of the SRL is that an algorith…