المؤلفون: Zhou, Xingcai, Chang, Le, Cao, Jinde

المساهمون: National Natural Science Foundation of China, Chinese National Social Science Fund

المصدر: IEEE Transactions on Neural Networks and Learning Systems ; volume 36, issue 1, page 1003-1014 ; ISSN 2162-237X 2162-2388

الاتاحة: https://doi.org/10.1109/tnnls.2023.3333804
http://xplorestaging.ieee.org/ielx7/5962385/10832116/10327766.pdf?arnumber=10327766

المؤلفون: Zhou, Xingcai, Kong, Dehan, Kashlak, A. B., Kong, Linglong, Karunamuni, R., Zhu, Hongtu

المصدر: Statistica Sinica, 2023 Jan 01. 33(4), 2643-2667.

URL الوصول: https://www.jstor.org/stable/27257185

المؤلفون: Zhou, Xingcai, Wang, Jiangyan

مصطلحات موضوعية: Statistics - Machine Learning, Computer Science - Machine Learning, Economics - Econometrics

URL الوصول: http://arxiv.org/abs/2103.00711

المؤلفون: Zhou, Xingcai, Chang, Le, Xu, Pengfei, Lv, Shaogao

مصطلحات موضوعية: Statistics - Machine Learning, Computer Science - Distributed, Parallel, and Cluster Computing, Computer Science - Machine Learning

URL الوصول: http://arxiv.org/abs/2103.00373

المؤلفون: Zhou, Xingcai, Kong, Dehan, Pietrosanu, Matthew Stephen, Kong, Linglong, Karunamuni, Rohana J.

المساهمون: Natural Sciences and Engineering Research Council of Canada

المصدر: Scandinavian Journal of Statistics ; volume 51, issue 3, page 1357-1387 ; ISSN 0303-6898 1467-9469

الاتاحة: http://dx.doi.org/10.1111/sjos.12717
https://onlinelibrary.wiley.com/doi/pdf/10.1111/sjos.12717

المؤلفون: Zhou, Xingcai, Ding, Shengxian, Wang, Jiangyan, Liu, Rongjie, Kong, Linglong, Huang, Chao

المساهمون: National Science Foundation Division of Mathematical Sciences, National Natural Science Foundation of China, Qinglan Project of Jiangsu Province, National Statistical Science Research Project

المصدر: Technometrics ; page 1-10 ; ISSN 0040-1706 1537-2723

الاتاحة: https://doi.org/10.1080/00401706.2024.2441686
https://www.tandfonline.com/doi/pdf/10.1080/00401706.2024.2441686

المؤلفون: Zhou, Xingcai¹ (AUTHOR), Yeon, Miyeon² (AUTHOR), Wang, Jiangyan¹ (AUTHOR), Ding, Shengxian² (AUTHOR), Lei, Kaizhou² (AUTHOR), Zhao, Yanyong¹ (AUTHOR), Liu, Rongjie³ (AUTHOR), Huang, Chao⁴ (AUTHOR) chaohuang@uga.edu

المصدر: Statistics in Medicine. 12/30/2024, Vol. 43 Issue 30, p5698-5710. 13p.

مصطلحات موضوعية: *STRUCTURAL equation modeling, *ALZHEIMER'S disease, *HILBERT space, *FUNCTION spaces, *REGRESSION analysis

المؤلفون: Zhou, Xingcai¹ (AUTHOR) xczhou@nau.edu.cn, Zheng, Haotian¹ (AUTHOR), Zhang, Haoran² (AUTHOR), Huang, Chao³ (AUTHOR)

المصدر: Stat. Dec2024, Vol. 13 Issue 1, p1-14. 14p.

المؤلفون: Zhou, Xingcai, Wang, Jiangyan, Wang, Hongxia, Lin, Jinguan

المساهمون: Qinglan Project of Jiangsu Province of China, National Natural Science Foundation of China, China Postdoctoral Science Foundation, Natural Science Foundation of Jiangsu Province, National Office for Philosophy and Social Sciences

المصدر: Ecological Informatics ; volume 67, page 101489 ; ISSN 1574-9541

الاتاحة: http://dx.doi.org/10.1016/j.ecoinf.2021.101489
https://api.elsevier.com/content/article/PII:S1574954121002806?httpAccept=text/xml
https://api.elsevier.com/content/article/PII:S1574954121002806?httpAccept=text/plain

المؤلفون: Han, Peisong, Kong, Linglong, Zhao, Jiwei, Zhou, Xingcai

المصدر: Journal of the Royal Statistical Society. Series B (Statistical Methodology), 2019 Jan 01. 81(2), 305-333.

URL الوصول: https://www.jstor.org/stable/26773212

المؤلفون: Zhou, Xingcai, Yang, Guang

المساهمون: National Natural Science Foundation of China, Chinese National Funding of Social Sciences

المصدر: Information Sciences ; volume 668, page 120523 ; ISSN 0020-0255

الاتاحة: http://dx.doi.org/10.1016/j.ins.2024.120523
https://api.elsevier.com/content/article/PII:S0020025524004365?httpAccept=text/xml
https://api.elsevier.com/content/article/PII:S0020025524004365?httpAccept=text/plain

المؤلفون: Zhou, Xingcai, Yang, Guang

المساهمون: National Natural Science Foundation of China

المصدر: Information Sciences ; volume 661, page 120167 ; ISSN 0020-0255

الاتاحة: http://dx.doi.org/10.1016/j.ins.2024.120167
https://api.elsevier.com/content/article/PII:S002002552400080X?httpAccept=text/xml
https://api.elsevier.com/content/article/PII:S002002552400080X?httpAccept=text/plain

المؤلفون: Lv, Shaogao, Zhou, Xingcai

المساهمون: NSFC, National Social Science Fund of China

المصدر: Statistical Theory and Related Fields ; volume 6, issue 2, page 105-107 ; ISSN 2475-4269 2475-4277

الاتاحة: http://dx.doi.org/10.1080/24754269.2021.2015868
https://www.tandfonline.com/doi/pdf/10.1080/24754269.2021.2015868

المؤلفون: Zhou, Xingcai¹ (AUTHOR) xczhou@nau.edu.cn, Jing, Zhaoyang¹ (AUTHOR) mg2108116@stu.nau.edu.cn, Huang, Chao² (AUTHOR) chuang7@fsu.edu

المصدر: Mathematics (2227-7390). Mar2024, Vol. 12 Issue 5, p735. 53p.

مصطلحات موضوعية: *QUANTILE regression, *MACHINE learning, *STATISTICAL accuracy, *REGRESSION analysis, *DISTRIBUTED computing, *STATISTICAL learning

المؤلفون: Zhou, Xingcai, Zhu, Fangxia

المساهمون: National Social Science Fund of China

المصدر: Journal of Inequalities and Applications ; volume 2020, issue 1 ; ISSN 1029-242X

الاتاحة: http://dx.doi.org/10.1186/s13660-020-02483-w
https://link.springer.com/content/pdf/10.1186/s13660-020-02483-w.pdf
https://link.springer.com/article/10.1186/s13660-020-02483-w/fulltext.html

المؤلفون: Zhou, Xingcai, Chang, Le, Xu, Pengfei, Lv, Shaogao

المساهمون: National Social Science Fund of China

المصدر: Pattern Recognition ; volume 137, page 109312 ; ISSN 0031-3203

الاتاحة: http://dx.doi.org/10.1016/j.patcog.2023.109312
https://api.elsevier.com/content/article/PII:S0031320323000134?httpAccept=text/xml
https://api.elsevier.com/content/article/PII:S0031320323000134?httpAccept=text/plain

المؤلفون: Hu, Caiping, Min, Shiyu, Liu, Xinyi, Zhou, Xingcai, Zhang, Hangchuan

المصدر: Electronics (2079-9292); Sep2023, Vol. 12 Issue 17, p3675, 21p

مصطلحات موضوعية: ELECTRIC lines, OBJECT recognition (Computer vision), ALGORITHMS, TRACKING algorithms, MATHEMATICAL convolutions

المؤلفون: Zhou, Xingcai^1,2 (AUTHOR), Shen, Hao² (AUTHOR), Ni, Beibei² (AUTHOR), Xu, Yingzhi¹ (AUTHOR)

المصدر: Communications in Statistics: Theory & Methods. 2023, Vol. 52 Issue 10, p3361-3381. 21p.

مصطلحات موضوعية: *PARAMETRIC modeling, ASYMPTOTIC normality, INFERENTIAL statistics, PANEL analysis, SMOOTHNESS of functions

المؤلفون: Liu, Meichen, Pietrosanu, Matthew, Liu, Peng, Jiang, Bei, Zhou, Xingcai, Kong, Linglong

مصطلحات موضوعية: QA276 Mathematical statistics

وصف الملف: application/pdf

Relation: https://kar.kent.ac.uk/90282/1/Reproducing%20kernel-based%20functional%20linearexpectile%20regression-210918.pdf; Liu, Meichen, Pietrosanu, Matthew, Liu, Peng, Jiang, Bei, Zhou, Xingcai, Kong, Linglong (2022) Reproducing kernel-based functional linear expectile regression. The Canadian Journal of Statistics, 50 (1). pp. 241-266. ISSN 0319-5724. E-ISSN 1708-945X. (doi:10.1002/cjs.11679 ) (KAR id:90282 )

الاتاحة: https://kar.kent.ac.uk/90282/
https://doi.org/10.1002/cjs.11679

المؤلفون: Zhou, Xingcai

المصدر: Journal of Computational and Applied Mathematics ; volume 400, page 113752 ; ISSN 0377-0427

الاتاحة: http://dx.doi.org/10.1016/j.cam.2021.113752
https://api.elsevier.com/content/article/PII:S0377042721003745?httpAccept=text/xml
https://api.elsevier.com/content/article/PII:S0377042721003745?httpAccept=text/plain