Part 4: Model Selection
This post investigates some common model selection methods, and does a detailed analysis of Akaike's Information Criterion (AIC) and how it performs on some diffusion MRI models.
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This post investigates some common model selection methods, and does a detailed analysis of Akaike's Information Criterion (AIC) and how it performs on some diffusion MRI models.
This post looks at the statistical bootstrap as a method to diagnose ill-conditioning, graphical analysis of regression fitting, and examines the kurtosis Diffusion MRI model.
An investigation on the biexponential model used with diffusion MRI and how it can exhibit large uncertainty in its parameter estimates
A blog post about the statistical modelling work I did during my PhD