Likelihood Python Packages

conjugate-prior

Implementation of the conjugate prior table for Bayesian Statistics

zfit

Model manipulation and fitting library based on TensorFlow and optimised for simple and direct manipulation of probability density functions. Its main focus is on scalability, parallelisation and user friendly experience.

bayesian-listener

Bayesian model for human sound localization with likelihood-based parameter estimation.

pymle-diffusion

Maximum Likelihood estimation and Simulation for Stochastic Differential Equations (Diffusions)

skyllh

The SkyLLH framework is an open-source Python3-based package licensed under the GPLv3 license. It provides a modular framework for implementing custom likelihood functions and executing log-likelihood ratio hypothesis tests. The idea is to provide a class structure tied to the mathematical objects of the likelihood functions.

mflike

Multifrequency Likelihood for SO Large Aperture Telescope

flarefly

FLexible And Reliable Fitting LibrarY for particle physics analysis

smokescreen

A library of methods to mitigate experimenter bias in the LSST DESC cosmology analysis

beta4dist

A Python Package for the Four-Parameter Beta Distribution and Likelihood-Based Estimation

pykelihood

package useful for likelihood-based inference

planck-2020-hillipop

A cobaya high-ell likelihood polarized for planck 2020 data (NPIPE release)

act-dr6-mflike

A multi-frequency likelihood for ACT DR6

planck-2020-lollipop

A cobaya low-ell likelihood polarized for planck 2020 data (NPIPE release)

simplify

Create and validate simplified likelihoods from full likelihoods.

gaplike

Exact inference on gapped and windowed stationary Gaussian data — gap-pattern generation, windowed frequency-domain covariances, and a hierarchy of likelihoods from Whittle to the exact time-domain solver, matrix-free at scale via preconditioned conjugate gradients

binopt

Binning optimisation of binary data

simplify-hep

Create and validate simplified likelihoods from full likelihoods.