4 citations · 17 across the 16 of their papers we have counts for
18 papers
The Fisher score on the closed simplex
Giovanni Pistone, Fabio Rapallo, Eva Riccomagno
We extend classical analytic tools for finite-state statistical models to allow zero probabilities. Using methods from algebraic statistics and information geometry, we develop a f…
Circuit bases for randomisation
Elena Pesce, Fabio Rapallo, Eva Riccomagno +1
After a rich history in medicine, randomisation control trials both simple and complex are in increasing use in other areas such as web-based AB testing and planning and design dec…
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 geometric characterisation of sensitivity analysis in monomial models
Manuele Leonelli, Eva Riccomagno
Sensitivity analysis in probabilistic discrete graphical models is usually conducted by varying one probability value at a time and observing how this affects output probabilities…
Large Datasets, Bias and Model Oriented Optimal Design of Experiments
Elena Pesce, Eva Riccomagno
We review recent literature that proposes to adapt ideas from classical model based optimal design of experiments to problems of data selection of large datasets. Special attention…
Markov Property in Generative Classifiers
Gherardo Varando, Concha Bielza, Pedro Larrañaga +1
We show that, for generative classifiers, conditional independence corresponds to linear constraints for the induced discrimination functions. Discrimination functions of undirecte…