11 citations · 13 across the 7 of their papers we have counts for
6 papers · 1 filter
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…
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…