UpdateAlpha

UpdateAlpha.default

UpdateAlpha.hierarchical

Using the procedure outlined in West (1992) we sample the concentration parameter of the Dirichlet process. See reference for further details.

Perform nonparametric Bayesian analysis using Dirichlet
processes without the need to program the inference algorithms.
Utilise included pre-built models or specify custom
models and allow the 'dirichletprocess' package to handle the
Markov chain Monte Carlo sampling.
Our Dirichlet process objects can act as building blocks for a variety
of statistical models including and not limited to: density estimation,
clustering and prior distributions in hierarchical models.
See Teh, Y. W. (2011)
<https://www.stats.ox.ac.uk/~teh/research/npbayes/Teh2010a.pdf>,
among many other sources.

Dean Markwick

dirichletprocess

Build Dirichlet Process Objects for Bayesian Modelling

Gordon J. Ross

Kees Mulder

Giovanni Sighinolfi

Filippo Fiocchi 

UpdateAlpha function

<dl><dt>dpobj</dt>
<dd>Dirichlet process object.</dd></dl>

Arguments

Update the Dirichlet process concentration parameter. — UpdateAlpha

<dl>

<dt>dpobj</dt>
<dd>Dirichlet process object.</dd>

</dl>

UpdateAlpha: Update the Dirichlet process concentration parameter.

Description

Usage

Value

Arguments

References