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.
Read article
→
Tag Archive
Tag: #Ill-Conditioning
4 articles
Part 3: Bootstrap, Graphical Analysis, and Kurtosis Model
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.
Read article
→
Part 2: The Biexponential Model and Ill-Conditioning
An investigation on the biexponential model used with diffusion MRI and how it can exhibit large uncertainty in its parameter estimates
Read article
→
Part 1: My PhD Thesis Introduction
A blog post about the statistical modelling work I did during my PhD
Read article
→