emcee delivers a stable Python implementation of the affine-invariant ensemble MCMC algorithm that requires minimal hand-tuning and supports easy parallelization.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
citation-role summary
background 1
citation-polarity summary
roles
background 1polarities
background 1representative citing papers
A new methodology counts galaxy pairs over entire fields and uses k-means patches plus oversampled bootstrap covariance to produce more robust cross-correlation measurements for magnification bias studies in GAMA fields.
citing papers explorer
-
emcee: The MCMC Hammer
emcee delivers a stable Python implementation of the affine-invariant ensemble MCMC algorithm that requires minimal hand-tuning and supports easy parallelization.
-
Methodological refinement of the submillimeter galaxy cross-correlation function measurements and their uncertainty estimation
A new methodology counts galaxy pairs over entire fields and uses k-means patches plus oversampled bootstrap covariance to produce more robust cross-correlation measurements for magnification bias studies in GAMA fields.