3 papers
stat.ME2020
Poisson-Tweedie mixed-effects model: a flexible approach for the analysis of longitudinal RNA-seq data
Mirko Signorelli, Pietro Spitali, Roula Tsonaka
We present a new modelling approach for longitudinal count data that is motivated by the increasing availability of longitudinal RNA-sequencing experiments. The distribution of RNA…
stat.ME2018
Model-based clustering for populations of networks
Mirko Signorelli, Ernst Wit
Until recently obtaining data on populations of networks was typically rare. However, with the advancement of automatic monitoring devices and the growing social and scientific int…
stat.ME2017
Variable selection for (realistic) stochastic blockmodels
Mirko Signorelli
Stochastic blockmodels provide a convenient representation of relations between communities of nodes in a network. However, they imply a notion of stochastic equivalence that is of…