Probability mass function for truncated poisson

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

pk function

<dl><dt>k</dt>
<dd>A scalar for the number of changes points in a cluster</dd>
<dt>kstar</dt>
<dd>A scalar with the number maximum of change points in all clusters</dd>
<dt>lambda</dt>
<dd>A scalar defining the parameter for the Truncate Poisson distribution
that controls the number of change points (or its initial values)</dd></dl>

Arguments

Probability mass function for truncated poisson — pk

<dl>

<dt>k</dt>
<dd>A scalar for the number of changes points in a cluster</dd>


<dt>kstar</dt>
<dd>A scalar with the number maximum of change points in all clusters</dd>


<dt>lambda</dt>
<dd>A scalar defining the parameter for the Truncate Poisson distribution
that controls the number of change points (or its initial values)</dd>

</dl>

pk: Probability mass function for truncated poisson

Description

Usage

Value

Arguments

See Also

Examples