11 citations · 13 across the 7 of their papers we have counts for
8 papers
Dynamic prediction intervals for survival times
Lorenzo Carvisiglia, Saverio Ranciati, Mirko Signorelli
Most work on survival prediction focuses on estimating survival probabilities rather than predicting individual event times. Recent conformal methods have made it possible to const…
On the application of Gaussian graphical models to paired data problems
Saverio Ranciati, Alberto Roverato
Gaussian graphical models are nowadays commonly applied to the comparison of groups sharing the same variables, by jointy learning their independence structures. We consider the ca…
Identifying Brexit voting patterns in the British House of Commons: an analysis based on Bayesian mixture models with flexible concomitant covariate effects
Marco Berrettini, Giuliano Galimberti, Saverio Ranciati +1
Brexit and its implications are an ongoing topic of interest since the Brexit referendum in 2016. In 2019 the House of commons held a number of "indicative" and "meaningful" votes…
Fused graphical lasso for brain networks with symmetries
Saverio Ranciati, Alberto Roverato, Alessandra Luati
Neuroimaging is the growing area of neuroscience devoted to produce data with the goal of capturing processes and dynamics of the human brain. We consider the problem of inferring…
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…
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…
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…
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…