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
- NSFC [71271165]
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.
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