4.2 Article

Nonlinear mixed-effects state space models with applications to HIV dynamics

期刊

STATISTICS & PROBABILITY LETTERS
卷 83, 期 5, 页码 1448-1456

出版社

ELSEVIER
DOI: 10.1016/j.spl.2013.01.032

关键词

HIV dynamics; Nonlinear state space model; Mixed effect; Sequential Monte Carlo; EM algorithm

资金

  1. NSFC [71271165]

向作者/读者索取更多资源

Nonlinear state space models with mixed-effect (NLMESSM) are proposed to model HIV clinical longitudinal data. With NLMESSM, filtering algorithms are proposed to estimate the individual/population states. Maximum likelihood via iterated filtering and variance components model are proposed to estimate fixed/random effects respectively. Simulation results validate the effectiveness of NLMESSM. (C) 2013 Elsevier B.V. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.2
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据