This paper proposes a new statistic to test independence of high-dimensional data. The simulation results suggest that the performance of the test based on our statistic is comparable to the existing ones, and under some circumstances it may have higher power. Therefore, the new statistic can be employed in practice as an alternative choice. (C) 2014 Elsevier B.V. All rights reserved.
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Beijing Univ Technol, Sch Math Stat & Mech, Beijing, Peoples R ChinaBeijing Univ Technol, Sch Math Stat & Mech, Beijing, Peoples R China
Shi, Xiangyu
Cao, Ruiyuan
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Beijing Univ Technol, Sch Math Stat & Mech, Beijing, Peoples R ChinaBeijing Univ Technol, Sch Math Stat & Mech, Beijing, Peoples R China
Cao, Ruiyuan
Du, Jiang
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Beijing Univ Technol, Sch Math Stat & Mech, Beijing, Peoples R China
Beijing Inst Sci & Engn Comp, Beijing, Peoples R ChinaBeijing Univ Technol, Sch Math Stat & Mech, Beijing, Peoples R China
Du, Jiang
Miao, Zhuqing
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Beijing Univ Technol, Sch Math Stat & Mech, Beijing, Peoples R ChinaBeijing Univ Technol, Sch Math Stat & Mech, Beijing, Peoples R China
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Shanghai Univ Finance & Econ, Sch Stat & Management, Shanghai, Peoples R ChinaShanghai Univ Finance & Econ, Sch Stat & Management, Shanghai, Peoples R China
Li, Weiming
Wang, Qinwen
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Fudan Univ, Sch Data Sci, Shanghai, Peoples R ChinaShanghai Univ Finance & Econ, Sch Stat & Management, Shanghai, Peoples R China
Wang, Qinwen
Yao, Jianfeng
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Chinese Univ Hong Kong Shenzhen, Sch Data Sci, Shenzhen, Peoples R ChinaShanghai Univ Finance & Econ, Sch Stat & Management, Shanghai, Peoples R China