M

mcmc

MULTIGRIS ("mgris") is a Bayesian multi-dimensional grid search using PyMC to extract the posterior distributions of primary grid parameters and predict unobserved parameters/observables.

gemlib provides Python modules for implementing epidemic models.

API reference: https://gem-epidemics.gitlab.io/gemlib

Stochastic superpositional posterior repartitioning used in conjunction with Bayesian inference engines such as PolyChord and MultiNest.

Codes will be uploaded here that are useful to study cosmology

Implementation of a Metropolis-within-Gibbs sampler in Python.

A analysis & post-processing framework written in Python for the KATRIN experiment.

Uses NumPy, SciPy, Matplotlib, LMFit, PyROOT, emcee & others to easily produce plots from existing data sets.