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Peijun Sang

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2020 – today

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2023
[j6]
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Peijun Sang, Adam B. Kashlak, Linglong Kong:
A Reproducing Kernel Hilbert Space Framework for Functional Classification. J. Comput. Graph. Stat. 32(3): 1000-1008 (2023)
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Jie Jian, Mu Zhu, Peijun Sang:
Restricted Tweedie Stochastic Block Models. CoRR abs/2310.10952 (2023)
2021
[j5]
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Peijun Sang, Mehmet A. Begen, Jiguo Cao:
Appointment scheduling with a quantile objective. Comput. Oper. Res. 132: 105295 (2021)
2020
[j4]
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Peijun Sang, Jiguo Cao:
Functional single-index quantile regression models. Stat. Comput. 30(4): 771-781 (2020)

2010 – 2019

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2019
[j3]
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Peijun Sang, Liangliang Wang, Jiguo Cao:
Weighted empirical likelihood inference for dynamical correlations. Comput. Stat. Data Anal. 131: 194-206 (2019)
2018
[j2]
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Peijun Sang, Richard A. Lockhart, Jiguo Cao:
Sparse estimation for functional semiparametric additive models. J. Multivar. Anal. 168: 105-118 (2018)
2016
[j1]
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  - journals/csda/JoeS16
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Harry Joe, Peijun Sang:
Multivariate models for dependent clusters of variables with conditional independence given aggregation variables. Comput. Stat. Data Anal. 97: 114-132 (2016)

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