Pythonic Bayesian inference and visualization for the MultiNest Nested Sampling Algorithm and PyCuba's cubature algorithms.
-
Updated
Dec 5, 2023 - Python
Pythonic Bayesian inference and visualization for the MultiNest Nested Sampling Algorithm and PyCuba's cubature algorithms.
Dynamic Nested Sampling package for computing Bayesian posteriors and evidences
Pure Python, MIT-licensed implementation of nested sampling algorithms for evaluating Bayesian evidence.
Fit and compare complex models reliably and rapidly. Advanced nested sampling.
Public version of PolyChord: See polychord.co.uk for PolyChordPro
Diffusive Nested Sampling
Bayesian X-ray analysis (nested sampling for Xspec and Sherpa)
Nested Sampling post-processing and plotting
Error analysis, diagnostic tests and plots for nested sampling calculations.
Probabilistic Programming and Nested sampling in JAX
Bayesian fitting package
Implementations of single and multi-ellipsoid nested sampling
A straightforward Bayesian data fitting library
Resurrecting BAMBI for the pythonic deep learning era
Super fast dynamic nested sampling with PolyChord (Python, C++ and Fortran likelihoods).
A Matlab nested sampling implementation
Big Data vs. complex physical models - a scalable nested sampling inference algorithm for many data sets
Using GPR as a foreground removal technique for single-dish 21cm intensity mapping.
Pythonic Nested Sampling Development Framework & UltraNest
Add a description, image, and links to the nested-sampling topic page so that developers can more easily learn about it.
To associate your repository with the nested-sampling topic, visit your repo's landing page and select "manage topics."