GUNDAM, for Generalized and Unified Neutrino Data Analysis Methods, is a suite of applications which aims at performing various statistical analysis with different purposes and setups.
-
Updated
Jun 12, 2024 - C++
GUNDAM, for Generalized and Unified Neutrino Data Analysis Methods, is a suite of applications which aims at performing various statistical analysis with different purposes and setups.
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.
R package for statistical inference using partially observed Markov processes
Interface for mathematical/statistical densities in Julia
A library of methods to mitigate experimenter bias in the LSST DESC cosmology analysis
A cobaya low-ell likelihood polarized for planck 2020 data (NPIPE release)
A cobaya high-ell likelihood polarized for planck 2020 data (NPIPE release)
HAWC Accelerated Likelihood - python-only framework for HAWC data analysis
Likelihood Based Optimal Partitioning
Image-processing software for cryo-electron microscopy
Monty Hall Particle Filter implementation
LikelihoodProfiler is a Julia package for practical identifiability analysis and confidence intervals evaluation.
FLexible And Reliable Fitting LibrarY for particle physics analysis
Interactive zfit tutorials
Multifrequency Likelihood for SO Large Aperture Telescope
Methods for profile likelihood analysis.
Provides likelihood functions for Gaussian Processes.
Simple Linear Regression
[Not published - under active development] Toolbox of model fitting helper functions
Add a description, image, and links to the likelihood topic page so that developers can more easily learn about it.
To associate your repository with the likelihood topic, visit your repo's landing page and select "manage topics."