activity
20132023
most citedBDgraph: An R Package for Bayesian Structure Learning in Graphical Models

123 citations · 301 across the 20 of their papers we have counts for

collaborators
Showing 2016Show all

5 papers · 1 filter

stat.ME2016

Estimating Causal Effects From Nonparanormal Observational Data

Seyed Mahdi Mahmoudi, Ernst Wit

One of the basic aims in science is to unravel the chain of cause and effect of particular systems. Especially for large systems this can be a daunting task. Detailed interventiona…

stat.AP2016★ 5 cited

A penalized inference approach to stochastic block modelling of community structure in the Italian Parliament

Mirko Signorelli, Ernst C. Wit

We analyse bill cosponsorship networks in the Italian Chamber of Deputies. In comparison with other parliaments, a distinguishing feature of the Chamber is the large number of poli…

stat.ME2016★ 1 cited

Bayesian Smooth-and-Match strategy for ordinary differential equations models that are linear in the parameters

Saverio Ranciati, Cinzia Viroli, Ernst Wit

In many fields of application, dynamic processes that evolve through time are well described by systems of ordinary differential equations (ODEs). The analytical solution of the OD…

stat.AP2016★ 66 cited

NEAT: an efficient network enrichment analysis test

Mirko Signorelli, Veronica Vinciotti, Ernst C. Wit

Network enrichment analysis is a powerful method, which allows to integrate gene enrichment analysis with the information on relationships between genes that is provided by gene ne…

stat.AP2016

Mixture model with multiple allocations for clustering spatially correlated observations in the analysis of ChIP-Seq data

Saverio Ranciati, Cinzia Viroli, Ernst Wit

Model-based clustering is a technique widely used to group a collection of units into mutually exclusive groups. There are, however, situations in which an observation could in pri…