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Tianhai Zu

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Journal Articles

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2023
[j4]
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  - journals/ma/GreenLYZ23
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  - https://dblp.org/rec/journals/ma/GreenLYZ23
Brittany Green, Heng Lian, Yan Yu, Tianhai Zu:
Semiparametric penalized quadratic inference functions for longitudinal data in ultra-high dimensions. J. Multivar. Anal. 196: 105175 (2023)
[j3]
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Tianhai Zu, Yan Yu:
gplsim: An R Package for Generalized Partially Linear Single-index Models. R J. 15(1): 55-64 (2023)
2021
[j2]
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Tianhai Zu, Yan Yu:
SIQR: An R Package for Single-index Quantile Regression. R J. 13(2): 398 (2021)
2019
[j1]
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  - journals/tasm/SrinivasanSNZ19
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Satish Mahadevan Srinivasan, Raghvinder S. Sangwan, Colin J. Neill, Tianhai Zu:
Twitter Data for Predicting Election Results: Insights from Emotion Classification. IEEE Technol. Soc. Mag. 38(1): 58-63 (2019)

Conference and Workshop Papers

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2019
[c1]
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  dblp key:
  - conf/icis/HarrisonSSCZD19
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Andrew J. Harrison, Binny M. Samuel, Zhe Shan, Michael Cook, Tianhai Zu, Diksha Dawani:
Learning to See the Hook: Comparing Phishing Training Approaches. ICIS 2019

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