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2025 Journal Article Drink like a man? Modified Poisson analysis of adolescent binge drinking in the US, 1976–2022Gu, Jiaxin, Chen, Minheng, Yuan, Yue, Guo, Xin, Zhou, Tian-yi and Fu, Qiang (2025). Drink like a man? Modified Poisson analysis of adolescent binge drinking in the US, 1976–2022. Social Science and Medicine, 364 117553, 1-9. doi: 10.1016/j.socscimed.2024.117553 |
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2024 Journal Article The design and optimality of survey counts: a unified framework via the Fisher Information MaximizerGuo, Xin and Fu, Qiang (2024). The design and optimality of survey counts: a unified framework via the Fisher Information Maximizer. Sociological Methods and Research, 53 (3), 1319-1349. doi: 10.1177/00491241221113877 |
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2024 Journal Article Learning with centered reproducing kernelsWang, Chendi, Guo, Xin and Wu, Qiang (2024). Learning with centered reproducing kernels. Analysis and Applications, 22 (03), 507-534. doi: 10.1142/S0219530523400018 |
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2024 Conference Publication On the asymptotic distribution of the minimum empirical riskWesterhout, Jacob, Nguyen, TrungTin, Guo, Xin and Nguyen, Hien Duy (2024). On the asymptotic distribution of the minimum empirical risk. 41st International Conference on Machine Learning, Vienna, Austria, 21-27 July 2024. Maastrict, The Netherlands: ML Research Press. |
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2023 Journal Article Gone with the weed: incidents of adolescent marijuana use in the United States, 1976-2021Gu, Jiaxin, Guo, Xin, Liu, Xiaoxi, Yuan, Yue, Zhu, Yushu, Chen, Minheng, Zhou, Tian-Yi and Fu, Qiang (2023). Gone with the weed: incidents of adolescent marijuana use in the United States, 1976-2021. Annals of Epidemiology, 88, 23-29. doi: 10.1016/j.annepidem.2023.10.002 |
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2023 Journal Article Capacity dependent analysis for functional online learning algorithmsGuo, Xin, Guo, Zheng-Chu and Shi, Lei (2023). Capacity dependent analysis for functional online learning algorithms. Applied and Computational Harmonic Analysis, 67 101567, 1-30. doi: 10.1016/j.acha.2023.06.002 |
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2022 Journal Article Rates of convergence of randomized Kaczmarz algorithms in Hilbert spacesGuo, Xin, Lin, Junhong and Zhou, Ding-Xuan (2022). Rates of convergence of randomized Kaczmarz algorithms in Hilbert spaces. Applied and Computational Harmonic Analysis, 61, 288-318. doi: 10.1016/j.acha.2022.07.005 |
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2022 Journal Article Online gradient descent algorithms for functional data learningChen, Xiaming, Tang, Bohao, Fan, Jun and Guo, Xin (2022). Online gradient descent algorithms for functional data learning. Journal of Complexity, 70 101635, 101635. doi: 10.1016/j.jco.2021.101635 |
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2022 Journal Article Sleeping lion or sick man? Machine learning approaches to deciphering heterogeneous images of Chinese in North AmericaFu, Qiang, Zhuang, Yufan, Zhu, Yushu and Guo, Xin (2022). Sleeping lion or sick man? Machine learning approaches to deciphering heterogeneous images of Chinese in North America. Annals of the American Association of Geographers, 112 (7), 2045-2063. doi: 10.1080/24694452.2022.2042180 |
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2022 Journal Article Detecting temporal anomalies with pseudo age groups: homeownership in Canada, 1981 to 2016Yuan, Yue, Gu, Jiaxin, Guo, Xin, Zhu, Yushu and Fu, Qiang (2022). Detecting temporal anomalies with pseudo age groups: homeownership in Canada, 1981 to 2016. Population, Space and Place, 28 (1) e2532, 1-18. doi: 10.1002/psp.2532 |
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2021 Journal Article Modified Poisson regression analysis of grouped and right-censored countsFu, Qiang, Zhou, Tian-Yi and Guo, Xin (2021). Modified Poisson regression analysis of grouped and right-censored counts. Journal of the Royal Statistical Society. Series A: Statistics in Society, 184 (4), 1347-1367. doi: 10.1111/rssa.12678 |
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2021 Journal Article Adolescent marijuana use in the United States and structural breaks: an age-period-cohort analysis, 1991–2018Gu, Jiaxin, Guo, Xin, Veenstra, Gerry, Zhu, Yushu and Fu, Qiang (2021). Adolescent marijuana use in the United States and structural breaks: an age-period-cohort analysis, 1991–2018. American Journal of Epidemiology, 190 (6), 1056-1063. doi: 10.1093/aje/kwaa269 |
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2021 Journal Article Agreeing to disagree: choosing among eight topic-modeling methodsFu, Qiang, Zhuang, Yufan, Gu, Jiaxin, Zhu, Yushu and Guo, Xin (2021). Agreeing to disagree: choosing among eight topic-modeling methods. Big Data Research, 23 100173, 100173. doi: 10.1016/j.bdr.2020.100173 |
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2021 Journal Article The uses and abuses of an age-period-cohort method: on the linear algebra and statistical properties of intrinsic and related estimatorsFu, Qiang, Guo, Xin, Jeon, Sun Young, Reither, Eric N., Zang, Emma and Land, Kenneth C. (2021). The uses and abuses of an age-period-cohort method: on the linear algebra and statistical properties of intrinsic and related estimators. Mathematical Foundations of Computing, 4 (1), 45-59. doi: 10.3934/mfc.2021001 |
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2020 Journal Article Preface of the special issue on analysis in data science: methods and applicationsGuo, Xin and Shi, Lei (2020). Preface of the special issue on analysis in data science: methods and applications. Mathematical Foundations of Computing, 3 (4), i-ii. doi: 10.3934/mfc.2020026 |
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2020 Journal Article Modeling interactive components by coordinate kernel polynomial modelsGuo, Xin, Li, Lexin and Wu, Qiang (2020). Modeling interactive components by coordinate kernel polynomial models. Mathematical Foundations of Computing, 3 (4), 263-277. doi: 10.3934/mfc.2020010 |
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2020 Journal Article Optimizing count responses in surveys: a machine-learning approachFu, Qiang, Guo, Xin and Land, Kenneth C. (2020). Optimizing count responses in surveys: a machine-learning approach. Sociological Methods and Research, 49 (3), 637-671. doi: 10.1177/0049124117747302 |
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2020 Journal Article A numerical method to compute Fisher information for a special case of heterogeneous negative binomial regressionGuo, Xin, Fu, Qiang, Wang, Yue and Land, Kenneth C. (2020). A numerical method to compute Fisher information for a special case of heterogeneous negative binomial regression. Communications on Pure and Applied Analysis, 19 (8), 4179-4189. doi: 10.3934/cpaa.2020187 |
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2020 Journal Article Distributed minimum error entropy algorithmsGuo, Xin, Hu, Ting and Wu, Qiang (2020). Distributed minimum error entropy algorithms. Journal of Machine Learning Research, 21, 1-31. |
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2019 Conference Publication Search for K: assessing five topic-modeling approaches to 120,000 Canadian articlesFu, Qiang, Zhuang, Yufan, Gu, Jiaxin, Zhu, Yushu, Qin, Huihui and Guo, Xin (2019). Search for K: assessing five topic-modeling approaches to 120,000 Canadian articles. 2019 IEEE International Conference on Big Data (Big Data), Los Angeles, CA United States, 9-12 December 2019. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/BigData47090.2019.9006160 |
