11 citations · 16 across the 4 of their papers we have counts for
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stat.ME2017
Unsupervised Learning of Mixture Regression Models for Longitudinal Data
Peirong Xu, Heng Peng, Tao Huang
This paper is concerned with learning of mixture regression models for individuals that are measured repeatedly. The adjective "unsupervised" implies that the number of mixing comp…
stat.ME2015★ 5 cited
Automatic Detection of Significant Areas for Functional Data with Directional Error Control
Peirong Xu, Youngjo Lee, Jian Qing Shi
To detect differences between the mean curves of two samples in longitudinal study or functional data analysis, we usually need to partition the temporal or spatial domain into sev…
stat.ME2014
Transformed sufficient dimension reduction
Tao Wang, Xu Guo, Peirong Xu +1
A novel general framework is proposed in this paper for dimension reduction in regression to fill the gap between linear and fully nonlinear dimension reduction. The main idea is t…