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A global solution of the Einstein-Yang-Mills equation on the conformal space 被引量:1
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作者 陆启铿 《Science China Mathematics》 SCIE 2002年第3期342-355,共14页
The method used to construct the SU(2) Yang-Mills field on a compactified Minkowski space $\overline M $ (which is equivalent to the conformal space) is generalized to construct an SU(N)(N > 2) Yang-Mills field F j... The method used to construct the SU(2) Yang-Mills field on a compactified Minkowski space $\overline M $ (which is equivalent to the conformal space) is generalized to construct an SU(N)(N > 2) Yang-Mills field F jk on $\overline M $ . It is proved that both F jk and the invariant metric tensor g jk of $\overline M $ satisfy the Einstein-Yang-Mills equation. The case of N → ∞ is also discussed. 展开更多
关键词 Einstein-Yang-Mills equation su(n)-connection conformal space large n limit
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Robust U-type test for high dimensional regression coefficients using refitted cross-validation variance estimation 被引量:1
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作者 GUO WenWen CHEN YongShuai CUI HengJian 《Science China Mathematics》 SCIE CSCD 2016年第12期2319-2334,共16页
This paper aims to develop a new robust U-type test for high dimensional regression coefficients using the estimated U-statistic of order two and refitted cross-validation error variance estimation. It is proved that ... This paper aims to develop a new robust U-type test for high dimensional regression coefficients using the estimated U-statistic of order two and refitted cross-validation error variance estimation. It is proved that the limiting null distribution of the proposed new test is normal under two kinds of ordinary models.We further study the local power of the proposed test and compare with other competitive tests for high dimensional data. The idea of refitted cross-validation approach is utilized to reduce the bias of sample variance in the estimation of the test statistic. Our theoretical results indicate that the proposed test can have even more substantial power gain than the test by Zhong and Chen(2011) when testing a hypothesis with outlying observations and heavy tailed distributions. We assess the finite-sample performance of the proposed test by examining its size and power via Monte Carlo studies. We also illustrate the application of the proposed test by an empirical analysis of a real data example. 展开更多
关键词 high dimension regression large p small n refitted cross-validation variance estimation U-type test robust
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