17 citations · 21 across the 7 of their papers we have counts for
Showing 2021Show all
3 papers · 1 filter
stat.ML2021
A Framework for an Assessment of the Kernel-target Alignment in Tree Ensemble Kernel Learning
Dai Feng, Richard Baumgartner
Kernels ensuing from tree ensembles such as random forest (RF) or gradient boosted trees (GBT), when used for kernel learning, have been shown to be competitive to their respective…
stat.ME2021
Nonparametric Analysis of Delayed Treatment Effects using Single-Crossing Constraints
Nicholas C. Henderson, Kijoeng Nam, Dai Feng
Clinical trials involving novel immuno-oncology (IO) therapies frequently exhibit survival profiles which violate the proportional hazards assumption due to a delay in treatment ef…
stat.ME2021★ 2 cited
BDNNSurv: Bayesian deep neural networks for survival analysis using pseudo values
Dai Feng, Lili Zhao
There has been increasing interest in modeling survival data using deep learning methods in medical research. In this paper, we proposed a Bayesian hierarchical deep neural network…