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Monte Carlo Markov Chain for inferring parameters for an Ordinary Differential Equation model

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This function uses a Monte Carlo Markov Chain algorithm to infer parameters for an ODE model

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Description

This function uses a Monte Carlo Markov Chain algorithm to infer parameters for an ordinary differential equation model of virus infection. This is a Bayesian non-linear mixed effects model.

Acknowledgements

Graphical User Interface For Solving Ordinary Differential Equations, Linear Regression On Log Transformed Data, and Graphical User Interface For Solving Ordinary Differential Equations inspired this file.

This file inspired Linear Regression With Statistics For Multiple Category Data, Healthy Disease Boxplot.Zip, T Test And Box Plots For Genes/Compounds Etc In Healthy Vs. Disease, Wilcoxon Rank Sum Test And Box Plots For Genes/Compounds Etc In Healthy Vs. Disease, A Graphical User Interface For Solving Delay Differential Equations And Doing Local Search, Linear Regression For Multiple Category Data With Different Slopes For Each, and Graphical User Interface For Solving Ordinary Differential Equations For In Vitro Infection.

Required Products MATLAB
MATLAB release MATLAB 7.13 (R2011b)
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