66 citations · 210 across the 25 of their papers we have counts for
20 papers · 1 filter
Hyperevent network modelling of partially observed gossip data
Veronica Poda, Veronica Vinciotti, Ernst C. Wit
Gossiping is a widespread social phenomenon that shapes relationships and information flow in communities. From a network theoretic point of view, gossiping can be seen as a higher…
Causal drivers of dynamic networks
Melania Lembo, Ester Riccardi, Veronica Vinciotti +1
Dynamic networks models describe temporal interactions between social actors, and as such have been used to describe financial fraudulent transactions, dispersion of destructive in…
Inferring the dynamics of quasi-reaction systems via nonlinear local mean-field approximations
Matteo Framba, Veronica Vinciotti, Ernst C. Wit
In the modelling of stochastic phenomena, such as quasi-reaction systems, parameter estimation of kinetic rates can be challenging, particularly when the time gap between consecuti…
A unified approach to penalized likelihood estimation of covariance matrices in high dimensions
Luca Cibinel, Alberto Roverato, Veronica Vinciotti
We consider the problem of estimation of a covariance matrix for Gaussian data in a high dimensional setting. Existing approaches include maximum likelihood estimation under a pre-…
Causal generalized linear models via Pearson risk invariance
Alice Polinelli, Veronica Vinciotti, Ernst C. Wit
Prediction invariance of causal models under heterogeneous settings has been exploited by a number of recent methods for causal discovery, typically focussing on recovering the cau…
Relational event models with global covariates
Melania Lembo, Rūta Juozaitienė, Veronica Vinciotti +1
Bike sharing is an increasingly popular mobility choice as it is a sustainable, healthy and economically viable transportation mode. By interpreting rides between bike stations ove…
Joint modelling of national cultures accounting for within and between-country heterogeneity
Veronica Vinciotti, Luca De Benedictis, Ernst C. Wit
Cultural values vary significantly around the world. Despite a large heterogeneity, similarities across national cultures are present. This paper studies cross-country culture hete…
Latent event history models for quasi-reaction systems
Matteo Framba, Veronica Vinciotti, Ernst C. Wit
Various processes can be modelled as quasi-reaction systems of stochastic differential equations, such as cell differentiation and disease spreading. Since the underlying data of p…
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…
Sparse inference of the human hematopoietic system from heterogeneous and partially observed genomic data
Gianluca Sottile, Luigi Augugliaro, Veronica Vinciotti +2
Hematopoiesis is the process of blood cell formation, through which progenitor stem cells differentiate into mature forms, such as white and red blood cells or mature platelets. Wh…
Bayesian Structural Learning with Parametric Marginals for Count Data: An Application to Microbiota Systems
Veronica Vinciotti, Pariya Behrouzi, Reza Mohammadi
High dimensional and heterogeneous count data are collected in various applied fields. In this paper, we look closely at high-resolution sequencing data on the microbiome, which ha…
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…
The conditional censored graphical lasso estimator
Luigi Augugliaro, Gianluca Sottile, Veronica Vinciotti
In many applied fields, such as genomics, different types of data are collected on the same system, and it is not uncommon that some of these datasets are subject to censoring as a…
L1-Penalized Censored Gaussian Graphical Model
Luigi Augugliaro, Antonino Abbruzzo, Veronica Vinciotti
Graphical lasso is one of the most used estimators for inferring genetic networks. Despite its diffusion, there are several fields in applied research where the limits of detection…
Discrete Weibull generalised additive model: an application to count fertility data
Alina Peluso, Veronica Vinciotti, Keming Yu
Fertility plans, measured by the number of planned children, have been found to be affected by education and family background via complex tail dependencies. This challenge was pre…
A Differentiable Alternative to the Lasso Penalty
Hamed Haselimashhadi, Veronica Vinciotti
Regularized regression has become very popular nowadays, particularly on high-dimensional problems where the addition of a penalty term to the log-likelihood allows inference where…
A new Bayesian regression model for counts in medicine
Hamed Haselimashhadi, Veronica Vinciotti, Keming Yu
Discrete data are collected in many application areas and are often characterised by highly skewed and power-lawlike distributions. An example of this, which is considered in this…
A Simple and Adaptive Dispersion Regression Model for Count Data
Hadeel S. Klakattawi, Veronica Vinciotti, Keming Yu
Regression for count data is widely performed by models such as Poisson, negative binomial (NB) and zero-inflated regression. A challenge often faced by practitioners is the select…
Penalised inference for autoregressive moving average models with time-dependent predictors
Hamed Haselimashhadi, Veronica Vinciotti
Linear models that contain a time-dependent response and explanatory variables have attracted much interest in recent years. The most general form of the existing approaches is of…
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…