most citedFlexible variable selection in the presence of missing data

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

stat.ML2023

Practical considerations for variable screening in the super learner

Brian D. Williamson, Drew King, Ying Huang

Estimating a prediction function is a fundamental component of many data analyses. The super learner ensemble, a particular implementation of stacking, has desirable theoretical pr…

stat.ME2022★ 1 cited

Flexible variable selection in the presence of missing data

B. D. Williamson, Y. Huang

In many applications, it is of interest to identify a parsimonious set of features, or panel, from multiple candidates that achieves a desired level of performance in predicting a…