4 citations · 5 across the 3 of their papers we have counts for
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stat.ME2025
Modeling positive and unlabeled data with a generalized additive density ratio model
Peijun Sang, Yifan Sun, Qinglong Tian +2
This paper focuses on learning from positive and unlabeled (PU) data, where only some positives are labeled and the rest are mixed with negatives. Classical exponential tilting mod…
stat.ME2025
Kernel-based Method for Detecting Structural Break in Distribution of Functional Data
Peijun Sang, Bing Li
We propose a novel method to detect and date structural breaks in the entire distribution of functional data. Theoretical guarantees are developed for our procedure under fewer ass…
stat.ME2022★ 4 cited
Nonlinear function-on-function regression by RKHS
Peijun Sang, Bing Li
We propose a nonlinear function-on-function regression model where both the covariate and the response are random functions. The nonlinear regression is carried out in two steps: w…