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