postalpha0

A Gibbs sampler algorithm was developed to estimate change points in constant-wise data sequences while performing clustering simultaneously. The algorithm is described in da Cruz, A. C. and de Souza, C. P. E "A Bayesian Approach for Clustering Constant-wise Change-point Data" <doi:10.48550/arXiv.2305.17631>.

Ana Carolina da Cruz

BayesCPclust

A Bayesian Approach for Clustering Constant-Wise Change-Point
Data

postalpha0 function

<dl><dt>alpha0</dt>
<dd>A scalar defining the parameter for the Dirichlet process prior
that controls the number of clusters (or its initial values)</dd>
<dt>a</dt>
<dd>The hyperparameter value for the shape parameter in the gamma prior for alpha0</dd>
<dt>b</dt>
<dd>The hyperparameter value for the scale parameter in the gamma prior for alpha0</dd>
<dt>N</dt>
<dd>A scalar representing the number of data sequences</dd>
<dt>cluster</dt>
<dd>A vector containing the cluster assignments for the data sequences (or its initial values)</dd></dl>

Arguments

Posterior for alpha0 — postalpha0

<dl>

<dt>alpha0</dt>
<dd>A scalar defining the parameter for the Dirichlet process prior
that controls the number of clusters (or its initial values)</dd>


<dt>a</dt>
<dd>The hyperparameter value for the shape parameter in the gamma prior for alpha0</dd>


<dt>b</dt>
<dd>The hyperparameter value for the scale parameter in the gamma prior for alpha0</dd>


<dt>N</dt>
<dd>A scalar representing the number of data sequences</dd>


<dt>cluster</dt>
<dd>A vector containing the cluster assignments for the data sequences (or its initial values)</dd>

</dl>

postalpha0: Posterior for alpha0

Description

Usage

Value

Arguments

Examples