8 citations · 18 across the 3 of their papers we have counts for
3 papers
Accelerated and interpretable oblique random survival forests
Byron C. Jaeger, Sawyer Welden, Kristin Lenoir +4
The oblique random survival forest (RSF) is an ensemble supervised learning method for right-censored outcomes. Trees in the oblique RSF are grown using linear combinations of pred…
Spike-and-Slab LASSO Generalized Additive Models and Scalable Algorithms for High-Dimensional Data Analysis
Boyi Guo, Byron C. Jaeger, A. K. M. Fazlur Rahman +2
There are proposals that extend the classical generalized additive models (GAMs) to accommodate high-dimensional data () using group sparse regularization. However, the spars…
When to Impute? Imputation before and during cross-validation
Byron C. Jaeger, Nicholas J. Tierney, Noah R. Simon
Cross-validation (CV) is a technique used to estimate generalization error for prediction models. For pipeline modeling algorithms (i.e. modeling procedures with multiple steps), i…