3 papers
stat.ML2026
Boosting methods for interval-censored data with regression and classification
Yuan Bian, Grace Y. Yi, Wenqing He
Boosting has garnered significant interest across both machine learning and statistical communities. Traditional boosting algorithms, designed for fully observed random samples, of…
stat.ME2026
Boosting prediction with data missing not at random
Yuan Bian, Grace Y. Yi, Wenqing He
Boosting has emerged as a useful machine learning technique over the past three decades, attracting increased attention. Most advancements in this area, however, have primarily foc…
stat.ME2025
A Flexible Partially Linear Single Index Proportional Hazards Regression Model for Multivariate Survival Data
Na Lei, Mark A. Wolters, Wenqing He
We address the problem of survival regression modelling with multivariate responses and nonlinear covariate effects. Our model extends the proportional hazards model by introducing…