MixingDistribution

The name of the distribution mixture

distribution

priorParameters

Whether the prior is conjugate to the Likelihood.

conjugate

The scale of the proposal parameter for the Metropolis Hastings algorithm. Not needed for conjugate mixtures.

mhStepSize

Vector of hyperPriorParameters for the distribution.

hyperPriorParameters

The constructor function for a mixing distribution object.
Use this function to prepare an object for use with the appropriate distribution functions.

Create Dirichlet process objects that can be used as infinite mixture models in a variety of ways.
Some examples include; density estimation, Poisson process intensity inference, hierarchical modelling and clustering.
See Teh, Y. W. (2011) <https://www.stats.ox.ac.uk/~teh/research/npbayes/Teh2010a.pdf>, among many other sources.

MixingDistribution: Create a mixing distribution object

Description

Usage

Arguments