Neural Network-Based Piecewise Survival Models

arXiv:2403.18664v1 Announce Type: cross
Abstract: In this paper, a family of neural network-based survival models is presented. The models are specified based on piecewise definitions of the hazard function and the density function on a partitioning of the time; both constant and linear piecewise definitions are presented, resulting in a family of four models. The models can be seen as an extension of the commonly used discrete-time and piecewise exponential models and thereby add flexibility to this set of standard …

abstract arxiv cs.lg cs.sy definitions eess.sy family function linear network neural network paper partitioning stat.ml survival type