Mstep_hist {ppsbm}

M step for histograms

Description

M step for histograms estimator

Usage

Mstep_hist(data, VE, directed, sparse)

Arguments

data

Data same of mainVEM

VE

Results of the previous VE for iterative computation

directed

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

sparse

Boolean for sparse (TRUE) or not sparse (FALSE) case

References

BARAUD, Y. & BIRGÉ, L. (2009). Estimating the intensity of a random measure by histogram type estimators. Probab. Theory Related Fields 143, 239–284.

MATIAS, C., REBAFKA, T. & VILLERS, F. (2018). A semiparametric extension of the stochastic block model for longitudinal networks. Biometrika.

REYNAUD -BOURET, P. (2006). Penalized projection estimators of the Aalen multiplicative intensity. Bernoulli 12, 633–661.