9 citations · 9 across the 3 of their papers we have counts for
3 papers
stat.ME2026
Separating Spatial and Clinical Risk with Node-Splitting SVM Survival Trees
Drew Lazar, Aye Aye Maung
Recovering geographic variation in survival requires separating spatial risk from patients' clinical characteristics, a problem complicated by prognostic covariates that are themse…
stat.ME2025
Node Splitting SVMs for Survival Trees Based on an L2-Regularized Dipole Splitting Criteria
Aye Aye Maung, Drew Lazar, Qi Zheng
This paper proposes a novel, node-splitting support vector machine (SVM) for creating survival trees. This approach is capable of non-linearly partitioning survival data which incl…
stat.OT2016★ 9 cited
Scale and curvature effects in principal geodesic analysis
Drew Lazar, Lizhen Lin
There is growing interest in using the close connection between differential geometry and statistics to model smooth manifold-valued data. In particular, much work has been done re…