摘要
已有文献对连续性的高维纵向数据的研究较多,而对离散高维纵向数据的研究较少,且条件较复杂。在较简单的条件下,证明了分析高维纵向计数数据的惩罚广义估计方程估计的存在性、相合性与渐近正态性。
There is a lot of research on the high dimensional continuous longitudinal data in the literature,however,the research on the discrete high dimensional longitudinal data is less,and the condition is more complicated. In this paper,under the weaker conditions,it proved the existence,consistency and asymptotic normality of the estimators of the penalized generalized estimating equations for the high-dimensional longitudinal count data.
出处
《重庆理工大学学报（自然科学）》
CAS
2016年第6期154-158,共5页
Journal of Chongqing University of Technology：Natural Science
基金
国家自然科学基金资助项目(11061002)
广西自然科学基金资助项目(2015GXNSFAA139006)
关键词
计数数据
惩罚广义估计方程
高维纵向数据
渐近正态性
count data
penalized generalized estimating equations
high-dimensional longitudinal data
asymptotic normality
