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pro vyhledávání: '"Yanbiao Xiang"'
Autor:
Yanbiao Xiang, Caiya Zhang
Publikováno v:
Statistical Papers. 57:249-265
In this paper, we consider the adaptive group Lasso in high-dimensional linear regression. Some extensions have been done with other fitting procedures, such as adaptive Lasso, nonconcave penalized likelihood and adaptive elastic-net. Under appropria
Publikováno v:
Journal of Applied Statistics. 39:385-397
Based on data depth, three types of nonparametric goodness-of-fit tests for multivariate distribution are proposed in this paper. They are Pearson’s chi-square test, tests based on EDF and tests based on spacings, respectively. The Anderson–Darli
Publikováno v:
Journal of Nonparametric Statistics. 21:683-696
Huang et al. [J. Huang, S. Ma, and C.-H. Zhang, Adaptive Lasso for sparse high-dimensional regression models, Statist. Sinica 18 (2008), pp. 1603–1618] have studied the asymptotic properties of the...
Autor:
Zhengyan Lin, Yanbiao Xiang
Publikováno v:
Statistics & Probability Letters. 78:2939-2946
Srivastava [Srivastava, M.S., 2005. Some tests concerning the covariance matrix in high dimensional data. J. Japan Statist. Soc. 35, 251–272] has proposed a test statistic for testing the hypothesis that the covariance matrix of the normal populati
Publikováno v:
Journal of Nonparametric Statistics; Aug2009, Vol. 21 Issue 6, p683-696, 14p, 4 Charts