2 citations · 6 across the 8 of their papers we have counts for
5 papers · 1 filter
Sensitivity and robustness analysis in Bayesian networks with the bnmonitor R package
Manuele Leonelli, Ramsiya Ramanathan, Rachel L. Wilkerson
Bayesian networks are a class of models that are widely used for risk assessment of complex operational systems. There are now multiple approaches, as well as implemented software,…
Tracking change-points in multivariate extremes
Miguel de Carvalho, Manuele Leonelli, Alex Rossi
In this paper we devise a statistical method for tracking and modeling change-points on the dependence structure of multivariate extremes. The methods are motivated by and illustra…
The R Package stagedtrees for Structural Learning of Stratified Staged Trees
Federico Carli, Manuele Leonelli, Eva Riccomagno +1
stagedtrees is an R package which includes several algorithms for learning the structure of staged trees and chain event graphs from data. Score-based and clustering-based algorith…
A conditional independence framework for coherent modularized inference
Manuele Leonelli, Martine J. Barons, Jim Q. Smith
Inference in current domains of application are often complex and require us to integrate the expertise of a variety of disparate panels of experts and models coherently. In this p…
A semiparametric approach for bivariate extreme exceedances
Manuele Leonelli, Dani Gamerman
Inference over tails is performed by applying only the results of extreme value theory. Whilst such theory is well defined and flexible enough in the univariate case, multivariate…