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Samplers
CosmoSIS comes with a range of samplers suitable for different likelihoods spaces.
Simple:
- test sampler Evaluate a single parameter set
- list sampler Re-run existing chain samples
Classic:
- metropolis sampler Classic Metropolis-Hastings sampling
- importance sampler Importance sampling
- fisher sampler Fisher Matrices
Max-Like:
- maxlike sampler Find the maximum likelihood using various methods in scipy
- gridmax sampler Naive grid maximum-posterior
Ensemble:
- emcee sampler Ensemble walker sampling
- kombine sampler Clustered KDE
- multinest sampler Nested sampling
- pmc sampler Adaptive Importance Sampling
Grid:
- grid sampler Regular posterior grid
- snake sampler Intelligent Grid exploration
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