3 papers
cs.LG2023
Subject-specific Deep Neural Networks for Count Data with High-cardinality Categorical Features
Hangbin Lee, Il Do Ha, Changha Hwang +1
There is a growing interest in subject-specific predictions using deep neural networks (DNNs) because real-world data often exhibit correlations, which has been typically overlooke…
stat.ML2023
Deep Neural Networks for Semiparametric Frailty Models via H-likelihood
Hangbin Lee, IL DO HA, Youngjo Lee
For prediction of clustered time-to-event data, we propose a new deep neural network based gamma frailty model (DNN-FM). An advantage of the proposed model is that the joint maximi…
stat.ME2021
Multi-Parameter Regression Survival Modelling with Random Effects
Fatima-Zahra Jaouimaa, Il Do Ha, Kevin Burke
We consider a parametric modelling approach for survival data where covariates are allowed to enter the model through multiple distributional parameters, i.e., scale and shape. Thi…