Running Fits

Colibri supports three inference methods for PDF fitting:

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

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

  3. Analytic Fit: Computes the posterior distribution of model parameters by solving the linear regression analytically.

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