影响因子：0.0
DOI码：10.16152/j.cnki.xdxbzr.2011.04.034
发表刊物：Journal of Northwest University (Natural Science Edition)
关键字：adaptive Lasso; Poisson log-linear regression model; variable selection; penalized likelihood; Oracle properties
摘要：Aim To study adaptive Lasso for Poisson log-linear regrersion model． Methods The methods of mathematical analysis and probability theory are used． Results Under some conditions，the adaptive Lasso estimator for Poisson log-linear regression has the oracle properties which are sparsity and asymptotic normality． Conclusion Adaptive Lasso can effectively choose variables for Poisson log-linar regression model and estimate the variable coefficient．
论文类型：期刊论文
论文编号：1000-274X(2011)04-0565-04
卷号：41
期号：4
页面范围：566-568
ISSN号：1000-274X
是否译文：否
第一作者：Jing Cui
合写作者：Pengjiang Guo
合写作者：Zhiming Xia