Dynamic Nested Sampling package for computing Bayesian posteriors and evidences
-
Updated
Jan 6, 2025 - Python
Dynamic Nested Sampling package for computing Bayesian posteriors and evidences
Pythonic Bayesian inference and visualization for the MultiNest Nested Sampling Algorithm and PyCuba's cubature algorithms.
Fit and compare complex models reliably and rapidly. Advanced nested sampling.
Probabilistic Programming and Nested sampling in JAX
Public version of PolyChord: See polychord.co.uk for PolyChordPro
Pure Python, MIT-licensed implementation of nested sampling algorithms for evaluating Bayesian evidence.
Diffusive Nested Sampling
Bayesian X-ray analysis (nested sampling for Xspec and Sherpa)
Nested Sampling post-processing and plotting
Bayesian fitting package
Implementations of single and multi-ellipsoid nested sampling
nessai: Nested Sampling with Artificial Intelligence
A straightforward Bayesian data fitting library
Proximal Nested Sampling for high-dimensional Bayesian model selection
Super fast dynamic nested sampling with PolyChord (Python, C++ and Fortran likelihoods).
Artificial Neural-Net compression and fitting of synthetic spectral grids.
Error analysis, diagnostic tests and plots for nested sampling calculations.
Bayesian spectral decomposition and model fitting using Nested Sampling
A machine learning algorithm that estimates the directions of arrival and relative levels of an arbitrary number of sound sources using recorded data from a 16-channel spherical microphone array.
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."