galx

<p>Velocities of 82 distant galaxies, diverging from our own galaxy</p>

datasets

A program for Bayesian analysis of univariate normal mixtures with an unknown number
of components, following the approach of Richardson and Green (1997) <doi:10.1111/1467-9868.00095>.
This makes use of reversible jump Markov chain Monte Carlo methods that are capable of jumping
between the parameter sub-spaces corresponding to different numbers of components in the mixture.
A sample from the full joint distribution of all unknown variables is thereby generated,
and this can be used as a basis for a thorough presentation of many aspects of the posterior
distribution.

Peter Green

Nmix

Bayesian Inference on Univariate Normal Mixtures

galx function

<p>The format is:
 num [1:82] 9.17 9.35 9.48 9.56 9.78 ...</p>

galx: Galaxy data set

Description

Usage

Arguments

Format

References

Examples