Efficient and Robust Bayesian Inference
is a Bayesian inference tool which calculates the evidence and explores the parameter space which may contain multiple posterior modes and pronounced (curving) degeneracies in moderately high dimensions. MultiNest
is freely available for academic use, subject to some MultiNest licence restrictions. Please contact Farhan Feroz for commercial licence.
can be downloaded from the MultiNest files section of this website.
If you use
, please acknowledge the following MultiNest papers: MultiNest
is written in Fortran 90 but wrappers & in the case of Matlab a native language implementation, is available for likelihood and prior functions written in following languages: MultiNest
C/C++: wrappers provided with package MultiNest
R: RMultiNest, wrapper for written by Johannes Buchner. MultiNest
Python: PyMultiNest, wrapper for written by Johannes Buchner. MultiNest
Matlab: MatlabMultiNest written by Matthew Pitkin & Joe Romano, is a Matlab implementation of the algorithm described in arXiv:0809.3437, although it lacks a few features included in the original Fortran version of . It can be downloaded from the MultiNest files section of this website.
MultiNest README file for more details.
Plotting & Visualisation
Output files produced by GetDist: are compatible with MultiNest GetDist ? plotting package which is part of CosmoMC.
written by Andrew Fowlie, can calculate and plot posterior distributions, profile likelihoods, confidence intervals, credible regions etc. from SuperPlot: output files. MultiNest
PyMultiNest : has support for analysing the output from & monitoring the progress. MultiNest
: Blind Accelerated Multimodal Bayesian Inference BAMBI
is a Bayesian inference tool for the analysis of X-ray observations of clusters of galaxies Bayes-X
Bayesian analysis of galaxy spectral energy distributions (SED) BayeSED
: Bayesian X-ray Analysis (nested sampling for Xspec and Sherpa) BXA
An Object Oriented C++ Library for Cosmology Cosmo++:
modular cosmological parameter esitmation Cosmo SIS:
: Bayesian Parameter Estimation and Model Comparison for Inflation ModeCode
: Monte Carlo Code for Cosmic Linear Anisotropy Solving System (CLASS) in Python Monte Python
is a software package to probabilistically identify/classify supernova light curves pSNid III
SIMTOI : SImulation and Modeling Tool for Optical Interferometry
for fast and efficient analysis of supersymmetry theories in particle physics. SuperBayeS
Scan the CMSSM with (Py) SuperPy: and plot the results with a new plotting GUI. MultiNest
is a Bayesian software package for the analysis of pulsar timing data. TempoNest
Farhan Feroz for any queries and MultiNest Will Handley for queries related to CosmoMC/ interface. MultiNest