当前位置: X-MOL 学术Commun. Stat. Theory Methods › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Semi-recursive kernel conditional density estimators under random censorship and dependent data
Communications in Statistics - Theory and Methods ( IF 0.6 ) Pub Date : 2020-05-18 , DOI: 10.1080/03610926.2020.1764038
Ali Laksaci 1 , Salah Khardani 2 , Sihem Semmar 1
Affiliation  

In this work, we extend to the case of the strong mixing data the results of Khardani and Semmar. A kernel-type recursive estimator of the conditional density function is introduced. We study the p...

中文翻译:

随机审查和相关数据下的半递归核条件密度估计器

在这项工作中,我们将 Khardani 和 Semmar 的结果扩展到强混合数据的情况。引入了条件密度函数的核型递归估计器。我们研究 p...
更新日期:2020-05-18
down
wechat
bug