123 citations · 301 across the 20 of their papers we have counts for
21 papers
Random graphical model of microbiome interactions in related environments
Veronica Vinciotti, Ernst Wit, Francisco Richter
The microbiome constitutes a complex microbial ecology of interacting components that regulates important pathways in the host. Measurements of microbial abundances are key to lear…
Nodal heterogeneity can induce ghost triadic effects in relational event models
Rūta Juozaitienė, Ernst C. Wit
Temporal network data is often encoded as time-stamped interaction events between senders and receivers, such as co-authoring scientific articles or communication via email. A numb…
Using Network-based Causal Inference to Detect the Sources of Contagion in the Currency Market
Katerina Rigana, Ernst-Jan Camiel Wit, Samantha Cook
Contagion is an extremely important topic in finance. Contagion is at the core of most major financial crises, in particular the 2008 financial crisis. Although various approaches…
COVID-19 and the difficulty of inferring epidemiological parameters from clinical data
Simon N. Wood, Ernst C. Wit, Matteo Fasiolo +1
Knowing the infection fatality ratio (IFR) is of crucial importance for evidence-based epidemic management: for immediate planning; for balancing the life years saved against the l…
Mixtures of multivariate generalized linear models with overlapping clusters
Saverio Ranciati, Veronica Vinciotti, Ernst C. Wit +1
With the advent of ubiquitous monitoring and measurement protocols, studies have started to focus more and more on complex, multivariate and heterogeneous datasets. In such studies…
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…
Dynamic Chain Graph Models for Ordinal Time Series Data
Pariya Behrouzi, Fentaw Abegaz, Ernst C. Wit
This paper introduces sparse dynamic chain graph models for network inference in high dimensional non-Gaussian time series data. The proposed method parametrized by a precision mat…
Identifying overlapping terrorist cells from the Noordin Top actor-event network
Saverio Ranciati, Veronica Vinciotti, Ernst C. Wit
Actor-event data are common in sociological settings, whereby one registers the pattern of attendance of a group of social actors to a number of events. We focus on 79 members of t…
netgwas: An R Package for Network-Based Genome-Wide Association Studies
Pariya Behrouzi, Danny Arends, Ernst C. Wit
Graphical models are a powerful tool in modelling and analysing complex biological associations in high-dimensional data. The R-package netgwas implements the recent methodological…
Detecting Epistatic Selection with Partially Observed Genotype Data Using Copula Graphical Models
P. Behrouzi, E. C. Wit
Recombinant Inbred Lines derived from divergent parental lines can display extensive segregation distortion and long-range linkage disequilibrium (LD) between distant loci. These g…
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…
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…
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…
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…
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…
BDgraph: An R Package for Bayesian Structure Learning in Graphical Models
Reza Mohammadi, Ernst C. Wit
Graphical models provide powerful tools to uncover complicated patterns in multivariate data and are commonly used in Bayesian statistics and machine learning. In this paper, we in…
Penalized EM algorithm and copula skeptic graphical models for inferring networks for mixed variables
Fentaw Abegaz, Ernst Wit
In this article, we consider the problem of reconstructing networks for continuous, binary, count and discrete ordinal variables by estimating sparse precision matrix in Gaussian c…
Network estimation in State Space Model with L1-regularization constraint
Anani Lotsi, Ernst Wit
Biological networks have arisen as an attractive paradigm of genomic science ever since the introduction of large scale genomic technologies which carried the promise of elucidatin…
State-space modeling of dynamic genetic networks
Anani Lotsi, Ernst Wit
The genomic reality is a highly complex and dynamic system. The recent development of high-throughput technologies has enabled researchers to measure the abundance of many genes (i…
High dimensional Sparse Gaussian Graphical Mixture Model
Anani Lotsi, Ernst Wit
This paper considers the problem of networks reconstruction from heterogeneous data using a Gaussian Graphical Mixture Model (GGMM). It is well known that parameter estimation in t…
Joint modelling of ChIP-seq data via a Markov random field model
Yanchun Bao, Veronica Vinciotti, Ernst Wit +1
Chromatin ImmunoPrecipitation-sequencing (ChIP-seq) experiments have now become routine in biology for the detection of protein binding sites. In this paper, we present a Markov ra…