4 papers
Convolution-smoothing based locally sparse estimation for functional quantile regression
Hua Liu, Boyi Hu, Jinhong You +1
Motivated by an application to study the impact of temperature, precipitation and irrigation on soybean yield, this article proposes a sparse semi-parametric functional quantile mo…
SID: A Novel Class of Nonparametric Tests of Independence for Censored Outcomes
Jinhong Li, Jicai Liu, Jinhong You +1
We propose a new class of metrics, called the survival independence divergence (SID), to test dependence between a right-censored outcome and covariates. A key technique for derivi…
Two Sample Testing for High-dimensional Functional Data: A Multi-resolution Projection Method
Shouxia Wang, Jiguo Cao, Hua Liu +2
It is of great interest to test the equality of the means in two samples of functional data. Past research has predominantly concentrated on low-dimensional functional data, a focu…
Similarity-Informed Transfer Learning for Multivariate Functional Censored Quantile Regression
Hua Liu, Jiaqi Men, Shouxia Wang +2
To address the challenge of utilizing patient data from other organ transplant centers (source cohorts) to improve survival time estimation and inference for a target center (targe…