JohannesBuchner / PyMultiNest
Pythonic Bayesian inference and visualization for the MultiNest Nested Sampling Algorithm and PyCuba's cubature algorithms.
☆200Updated 2 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
- Fit and compare complex models reliably and rapidly. Advanced nested sampling.☆176Updated last month
- MCMC sample analysis, kernel densities, plotting, and GUI☆160Updated 3 weeks ago
- Analysis kit for large-scale structure datasets, the massively parallel way☆110Updated 2 years ago
- Pure Python, MIT-licensed implementation of nested sampling algorithms for evaluating Bayesian evidence.☆74Updated last year
- MultiNest is a Bayesian inference tool which calculates the evidence and explores the parameter space which may contain multiple posterio…☆66Updated 3 years ago
- Public version of PolyChord: See polychord.co.uk for PolyChordPro☆88Updated this week
- chapters of a book Hogg will never write☆90Updated 2 months ago
- Code for Bayesian Analysis☆138Updated this week
- A parallel-tempered version of emcee.☆59Updated last year
- A kernel-density-based, embarrassingly parallel ensemble sampler☆34Updated 2 years ago
- Diffusive Nested Sampling☆68Updated 5 months ago
- Nested Sampling post-processing and plotting☆57Updated last week
- Corner plots, LaTeX tables and plotting walks.☆83Updated last week
- A unified pseudo-Cl framework☆59Updated last week
- Code for efficiently computing 2-point and 3-point correlation functions. For documentation, go to☆104Updated this week
- The Multi-Mission Maximum Likelihood framework (3ML)☆78Updated 3 weeks ago
- pocoMC: A Python implementation of Preconditioned Monte Carlo for accelerated Bayesian Computation☆96Updated last month
- Public repository for the Monte Python Code☆65Updated 5 years ago
- A python package implementing the MARGINAL LIKELIHOODS FROM MONTE CARLO MARKOV CHAINS algorithm described in Heavens et. al. (2017)☆40Updated last year
- a basic numpy/scipy-based cosmology package for python☆46Updated last year
- Make a sweet giant triangle confusogram (GTC) plot☆34Updated last year
- PyAutoFit: Classy Probabilistic Programming☆63Updated this week
- DEPRECATED: use dfm/emcee version 3 instead☆21Updated 5 years ago
- Neural Network-Boosted Importance Nested Sampling for Bayesian Statistics☆83Updated last month
- MCMC package for Bayesian data analysis☆58Updated 7 years ago
- multiplicatively convolutional fast integral transforms, implementing FFTLog☆31Updated last month
- 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
- Implementation of Ogata's (2005) method for Hankel transforms.☆47Updated 2 weeks ago
- MCMC parameter sampling code☆85Updated 3 years ago