sortIntensities

intensities

hat.z

Boolean for directed (TRUE) or undirected (FALSE) case

directed

Sort intensities associated with hat.z "in the same way" as the original intensities associated with z by permutation of rows

Stochastic block model used for dynamic graphs represented by Poisson processes.
To model recurrent interaction events in continuous time, an extension of the stochastic block model is proposed where every individual belongs to a latent group and interactions between two individuals follow a conditional inhomogeneous Poisson process with intensity driven by the individuals’ latent groups. The model is shown to be identifiable and its estimation is based on a semiparametric variational expectation-maximization algorithm. Two versions of the method are developed, using either a nonparametric histogram approach (with an adaptive choice of the partition size) or kernel intensity estimators. The number of latent groups can be selected by an integrated classification likelihood criterion.
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M. Corneli, P. Latouche and F. Rossi (2016). <doi:10.1016/j.neucom.2016.02.031>.
J.-J. Daudin, F. Picard and S. Robin (2008). <doi:10.1007/s11222-007-9046-7>.
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C. Matias, T. Rebafka and F. Villers (2018). <doi:10.1093/biomet/asy016>.
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P. Reynaud-Bouret (2006). <doi:10.3150/bj/1155735930>.

Daphnc3<a9> Giorgi

ppsbm

Clustering in Longitudinal Networks

sortIntensities function

<dl><dt>intensities</dt>
<dd>Intensities \(\alpha\)</dd>
<dt>z</dt>
<dd>Matrice of size \(Q \times n\)</dd>
<dt>hat.z</dt>
<dd>Matrice of size \(Q \times n\)</dd>
<dt>directed</dt>
<dd>Boolean for directed (TRUE) or undirected (FALSE) case</dd></dl>

Arguments

Sort intensities — sortIntensities

<dl>

<dt>intensities</dt>
<dd>Intensities \(\alpha\)</dd>


<dt>z</dt>
<dd>Matrice of size \(Q \times n\)</dd>


<dt>hat.z</dt>
<dd>Matrice of size \(Q \times n\)</dd>


<dt>directed</dt>
<dd>Boolean for directed (TRUE) or undirected (FALSE) case</dd>

</dl>

sortIntensities: Sort intensities

Description

Usage

Arguments

References

Examples