THE ASYMPTOTIC DISTRIBUTION AND BERRY-ESSEEN BOUND OF A NEW TEST FOR INDEPENDENCE IN HIGH DIMENSION WITH AN APPLICATION TO STOCHASTIC OPTIMIZATION
THE ASYMPTOTIC DISTRIBUTION AND BERRY-ESSEEN BOUND OF A NEW TEST FOR INDEPENDENCE IN HIGH DIMENSION WITH AN APPLICATION TO STOCHASTIC OPTIMIZATION
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DOI：
10.1214/08-aap527
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发表时间：
2008-12-01
影响因子：
1.8
通讯作者：
Shao, Qi-Man
中科院分区：
文献类型：
--
作者：
Liu, Wei-Dong;Lin, Zhengyan;Shao, Qi-Man
令 X-1 , . 。 。 , X-n 是 p 维总体分布中的随机样本。假设 c(1)n(alpha)
Let X-1 , . . . , X-n be a random sample from a p-dimensional population distribution. Assume that c(1)n(alpha)