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  1. Articles 1–20. ‪Professor, UNESCO PBL Centre, Aalborg University‬ - ‪‪Cited by 4,426‬‬ - ‪Learning‬ - ‪Problem and Project Based Learning‬ - ‪pedagogy and teaching development‬ - ‪curriculum...

  2. Sep 1, 2023 · Abstract. Testing high-dimensional data independence is an essential task of multivariate data analysis in many fields. Typically, the quadratic and extreme value type statistics based on the Pearson correlation coefficient are designed to test dense and sparse alternatives for evaluating high-dimensional independence.

  3. Dec 28, 2023 · An adaptive test based on Kendall's tau for independence in high dimensions. Xiangyu Shi, Yuanyuan Jiang, +1 author. Zhuqing Miao. Published in Journal of nonparametric… 28 December 2023. Mathematics. Journal of Nonparametric Statistics. View via Publisher. Save to Library.

  4. en.wikipedia.org › wiki › Xiang_YuXiang Yu - Wikipedia

    Xiang Ji ( c. 232 – c. January 202 BC [1] ), courtesy name Yu, was the Hegemon-King of Western Chu during the ChuHan Contention period (206202 BC) of China. A noble of the state of Chu, Xiang Yu rebelled against the Qin dynasty, destroying their last remnants and becoming a powerful warlord.

  5. Sep 1, 2023 · XiangyuShia, MinXua, JiangDuab. Show more. Add to Mendeley. https://doi.org/10.1016/j.csda.2023.107768Get rights and content. Abstract. Testing high-dimensional data independence is an essential task of multivariate data analysis in many fields.

  6. Xiangyun Du, Ph.D., is a professor and Director of Aalborg UNESCO PBL Centre in Engineering Science and Sustainability,Aalborg University, Denmark. I have been previously worked in different educational institutions in China

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  8. Xiangyun DU, Professor | Cited by 2,537 | of Aalborg University, Aalborg | Read 194 publications | Contact Xiangyun DU

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