Using Python Multiprocessing with NLLS Regression
A comparison of Nonlinear Least Squares Regression fitting on simulated data in Python, using the multiprocessing module versus a standard for loop
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Tag Archive
Tag: #NLLS
7 articles
Nonlinear Least Squares Regression for Python
A walkthrough of some options for Nonlinear Least Squares Regression fitting in Python, including SciPy's curve_fit and least_squares, along with the module LMFit
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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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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.
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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
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Part 1: My PhD Thesis Introduction
A blog post about the statistical modelling work I did during my PhD
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Nonlinear Regression Primer using MATLAB
A primer on how to use Nonlinear Regression with MATLAB
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