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

DOI10.1016/j.spl.2013.01.032zbMath1283.62224OpenAlexW2028535367MaRDI QIDQ385126

San-Yang Liu, Lu Han, Jie Zhou

Publication date: 29 November 2013

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.spl.2013.01.032

zbMATH Keywords

EM algorithmsequential Monte Carlononlinear state space model

Mathematics Subject Classification ID

Related Items (1)

Mixed effects state-space models with Student-t errors

Cites Work

• Mixed-Effects State-Space Models for Analysis of Longitudinal Dynamic Systems
• Mathematical Analysis of HIV-1 Dynamics in Vivo
• Virus Dynamics: A Global Analysis
• Parameter Estimation for Differential Equations: a Generalized Smoothing Approach
• Parameter Estimation for Differential Equation Models Using a Framework of Measurement Error in Regression Models
• Hierarchical Bayesian Methods for Estimation of Parameters in a Longitudinal HIV Dynamic System
• Monte Carlo strategies in scientific computing

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