Part of a series on |
Bayesian statistics |
---|
Posterior = Likelihood × Prior ÷ Evidence |
Background |
Model building |
Posterior approximation |
Estimators |
Evidence approximation |
Model evaluation |
The nested sampling algorithm is a computational approach to the Bayesian statistics problems of comparing models and generating samples from posterior distributions. It was developed in 2004 by physicist John Skilling.[1]
© MMXXIII Rich X Search. We shall prevail. All rights reserved. Rich X Search