Running Fits

Colibri supports three inference methods for fitting models:

1. Analytical Fit: Computes the posterior distribution of model parameters by solving the linear regression analytically.

2. Bayesian Fit: Employs Markov Chain Monte Carlo (MCMC) sampling to explore the posterior distribution.

3. Monte Carlo Replica Fit: Uses a parametric-bootstrap approach to approximate the posterior distribution via repeated resampling.

In the sections that follow, we’ll explore the use cases and workflows for each method.

• Analytical Fits
• Bayesian Fits
• Monte Carlo Replica Method Fits