JohannesBuchner / PyMultiNest
Pythonic Bayesian inference and visualization for the MultiNest Nested Sampling Algorithm and PyCuba's cubature algorithms.
☆200Updated 3 months ago
Alternatives and similar repositories for PyMultiNest:
Users that are interested in PyMultiNest are comparing it to the libraries listed below
- MultiNest is a Bayesian inference tool which calculates the evidence and explores the parameter space which may contain multiple posterio…☆63Updated last year
- MCMC sample analysis, kernel densities, plotting, and GUI☆163Updated last week
- Fit and compare complex models reliably and rapidly. Advanced nested sampling.☆178Updated 2 months ago
- Public version of PolyChord: See polychord.co.uk for PolyChordPro☆89Updated 3 weeks ago
- A parallel-tempered version of emcee.☆59Updated 2 years ago
- Analysis kit for large-scale structure datasets, the massively parallel way☆110Updated 2 years ago
- Code for Bayesian Analysis☆142Updated this week
- chapters of a book Hogg will never write☆90Updated 3 months ago
- Pure Python, MIT-licensed implementation of nested sampling algorithms for evaluating Bayesian evidence.☆74Updated last year
- Nested Sampling post-processing and plotting☆58Updated last month
- pocoMC: A Python implementation of Preconditioned Monte Carlo for accelerated Bayesian Computation☆100Updated 2 months ago
- The Multi-Mission Maximum Likelihood framework (3ML)☆78Updated last month
- MultiNest is a Bayesian inference tool which calculates the evidence and explores the parameter space which may contain multiple posterio…☆66Updated 3 years ago
- A unified pseudo-Cl framework☆59Updated 2 weeks ago
- Diffusive Nested Sampling☆69Updated 5 months ago
- A kernel-density-based, embarrassingly parallel ensemble sampler☆34Updated 2 years ago
- Corner plots, LaTeX tables and plotting walks.☆84Updated 3 weeks ago
- Make a sweet giant triangle confusogram (GTC) plot☆34Updated last year
- a basic numpy/scipy-based cosmology package for python☆46Updated last year
- Code for efficiently computing 2-point and 3-point correlation functions. For documentation, go to☆105Updated this week
- Dynamic Nested Sampling package for computing Bayesian posteriors and evidences☆377Updated last month
- MCMC parameter sampling code☆86Updated 3 years ago
- multiplicatively convolutional fast integral transforms, implementing FFTLog☆32Updated last month
- Neural Network-Boosted Importance Nested Sampling for Bayesian Statistics☆83Updated 2 months ago
- Public repository for the Monte Python Code☆95Updated 9 months ago
- Pippi: parse it, plot it. A program for operating on MCMC chains and related lists of samples from a function or distribution.☆11Updated last month
- A python package implementing the MARGINAL LIKELIHOODS FROM MONTE CARLO MARKOV CHAINS algorithm described in Heavens et. al. (2017)☆41Updated last year
- ☆67Updated 8 months ago
- An example of non-linear fitting through generative model building in astrophysics.☆10Updated 7 years ago
- Public repository for the Monte Python Code☆65Updated 5 years ago