4 papers
Semiparametric Learning from Open-Set Label Shift Data
Siyan Liu, Yukun Liu, Qinglong Tian +2
We study the open-set label shift problem, where the test data may include a novel class absent from training. This setting is challenging because both the class proportions and th…
Revamping Conformal Selection With Optimal Power: A Neyman--Pearson Perspective
Jing Qin, Yukun Liu, Moming Li +1
This paper introduces a novel conformal selection procedure, inspired by the Neyman--Pearson paradigm, to maximize the power of selecting qualified units while maintaining false di…
Efficient estimation of partially linear additive Cox models and variance estimation under shape restrictions
Junjun Lang, Yukun Liu, Jing Qin
Shape-restricted inferences have exhibited empirical success in various applications with survival data. However, certain works fall short in providing a rigorous theoretical justi…
Hypothesis test on a mixture forward-incubation-time epidemic model with application to COVID-19 outbreak
Chunlin Wang, Pengfei Li, Yukun Liu +2
The distribution of the incubation period of the novel coronavirus disease that emerged in 2019 (COVID-19) has crucial clinical implications for understanding this disease and devi…