JohannesBuchner / PyMultiNest
Pythonic Bayesian inference and visualization for the MultiNest Nested Sampling Algorithm and PyCuba's cubature algorithms.
☆192Updated 3 weeks ago
Related projects: ⓘ
- MCMC sample analysis, kernel densities, plotting, and GUI☆120Updated 3 weeks ago
- 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.☆143Updated 3 weeks ago
- A parallel-tempered version of emcee.☆58Updated last year
- Analysis kit for large-scale structure datasets, the massively parallel way☆111Updated 2 years ago
- Public version of PolyChord: See polychord.co.uk for PolyChordPro☆84Updated 3 months ago
- Code for Bayesian Analysis☆125Updated last week
- MultiNest is a Bayesian inference tool which calculates the evidence and explores the parameter space which may contain multiple posterio…☆64Updated 2 years ago
- Pure Python, MIT-licensed implementation of nested sampling algorithms for evaluating Bayesian evidence.☆75Updated last year
- chapters of a book Hogg will never write☆89Updated last year
- MCMC parameter sampling code☆81Updated 2 years ago
- Diffusive Nested Sampling☆60Updated this week
- Corner plots, LaTeX tables and plotting walks.☆79Updated last month
- multiplicatively convolutional fast integral transforms implementing FFTLog☆28Updated last month
- N-body and hydro analysis tools for Python 3. (Older versions support Python 2.)☆161Updated this week
- pocoMC: A Python implementation of Preconditioned Monte Carlo for accelerated Bayesian Computation☆80Updated this week
- A unified pseudo-Cl framework☆56Updated 3 weeks ago
- Make a sweet giant triangle confusogram (GTC) plot☆33Updated 11 months ago
- A kernel-density-based, embarrassingly parallel ensemble sampler☆34Updated 2 years ago
- Code for efficiently computing 2-point and 3-point correlation functions. For documentation, go to☆98Updated 2 months ago
- PyAutoFit: Classy Probabilistic Programming☆59Updated this week
- A generic Chang and Cooper solver for Fokker-Planck style equations☆9Updated 3 years ago
- Public repository for the Monte Python Code☆65Updated 4 years ago
- Nested Sampling post-processing and plotting☆56Updated last month
- a basic numpy/scipy-based cosmology package for python☆45Updated last year
- A python package implementing the MARGINAL LIKELIHOODS FROM MONTE CARLO MARKOV CHAINS algorithm described in Heavens et. al. (2017)☆38Updated last year
- Implementation of Ogata's (2005) method for Hankel transforms.☆44Updated last week
- Code for Anisotropies in the Microwave Background☆191Updated 3 weeks ago
- The Multi-Mission Maximum Likelihood framework (3ML)☆73Updated last week
- Correlation Utilities and Two-point Estimation☆35Updated last year