Statistical diagnosis for HIV dynamics based on mean shift outlier model

DOI10.1007/s11424-015-4021-4zbMath1329.93130OpenAlexW2018865721MaRDI QIDQ904934

Jie Zhou, Ting Wu, San-Yang Liu

Publication date: 14 January 2016

Published in: Journal of Systems Science and Complexity (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11424-015-4021-4

zbMATH Keywords

mean shift outlier modelnonparametric regressionHIV dynamicslocal polynomial smoothing

Mathematics Subject Classification ID

Stochastic systems in control theory (general) (93E03) Diagnostics, and linear inference and regression (62J20)

Related Items (1)

Outlier detection via a block diagonal product estimator

Cites Work

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• Parameter estimation of ODE's via nonparametric estimators
• Efficient Local Estimation for Time-Varying Coefficients in Deterministic Dynamic Models With Applications to HIV-1 Dynamics
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• Population HIV‐1 Dynamics In Vivo: Applicable Models and Inferential Tools for Virological Data from AIDS Clinical Trials
• Parameter Estimation for Differential Equations: a Generalized Smoothing Approach
• Correction
• 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
• Deterministic and Stochastic Models of AIDS Epidemics and HIV Infections with Intervention

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