Chapter 8: Regression and Model Fitting

This chapter covers linear and nonlinear regression and model fitting, including strategies which are robust to data error and the presence of outliers.

Inline Bayesian Linear Regression

Cosmology Regression Example

Ridge and Lasso: Geometric Interpretation

Regularized Regression Example

Nonlinear cosmology fit to mu vs z

Total Least Squares Figure

Huber Loss Function

Huber Loss Function

Perform Outlier Rejection with MCMC

Gaussian Process Example

Cosmology Regression Example

Cross Validation Examples: Part 1

Cross Validation Examples: part 2

Cross Validation Examples

Cross Validation Examples: Part 4