Bayesian model calibration and uncertainty quantification for an HIV model using adaptive Metropolis algorithms
From MaRDI portal
Publication:4563450
DOI10.1080/17415977.2017.1312365zbMath1390.92086OpenAlexW2604791850MaRDI QIDQ4563450
No author found.
Publication date: 1 June 2018
Published in: Inverse Problems in Science and Engineering (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/17415977.2017.1312365
Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Medical applications (general) (92C50) Medical epidemiology (92C60)
Related Items (1)
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- HIV-1 infection and low steady state viral loads
- Energy statistics: a class of statistics based on distances
- Smooth functional tempering for nonlinear differential equation models
- DISCO analysis: A nonparametric extension of analysis of variance
- Reduced models of algae growth
- Inference from iterative simulation using multiple sequences
- Estimation and prediction with HIV-treatment interruption data
- HIV dynamics: Modeling, data analysis, and optimal treatment protocols
- Active Subspaces
- Physiological Pharmacokinetic Analysis Using Population Modeling and Informative Prior Distributions
- Erratum: Active Subspace Methods in Theory and Practice: Applications to Kriging Surfaces
- Modelling HIV immune response and validation with clinical data
- Hierarchical Bayesian Methods for Estimation of Parameters in a Longitudinal HIV Dynamic System
- Parameter Selection and Verification Techniques Based on Global Sensitivity Analysis Illustrated for an HIV Model
- REDUCED ORDER MODELING FOR NONLINEAR MULTI-COMPONENT MODELS
This page was built for publication: Bayesian model calibration and uncertainty quantification for an HIV model using adaptive Metropolis algorithms
