FLEXI-Haz combines a linear component for primary covariates with a DNN for nuisance variables in survival modeling, delivering minimax-optimal nonparametric rates, sqrt-n consistent linear estimates, semiparametric efficiency, and asymptotic confidence intervals for survival curves.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
stat.ML 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Flexible Deep Neural Networks for Partially Linear Survival Data: Estimation and Survival Inference
FLEXI-Haz combines a linear component for primary covariates with a DNN for nuisance variables in survival modeling, delivering minimax-optimal nonparametric rates, sqrt-n consistent linear estimates, semiparametric efficiency, and asymptotic confidence intervals for survival curves.