19 citations · 66 across the 21 of their papers we have counts for
28 papers
Structured factorization for single-cell gene expression data
Antonio Canale, Luisa Galtarossa, Davide Risso +2
Single-cell gene expression data are often characterized by large matrices, where the number of cells may be lower than the number of genes of interest. Factorization models have e…
Confounder-Dependent Bayesian Mixture Model: Characterizing Heterogeneity of Causal Effects in Air Pollution Epidemiology
Dafne Zorzetto, Falco J. Bargagli-Stoffi, Antonio Canale +1
Several epidemiological studies have provided evidence that long-term exposure to fine particulate matter (PM2.5) increases mortality risk. Furthermore, some population characteris…
Accelerated structured matrix factorization
Lorenzo Schiavon, Bernardo Nipoti, Antonio Canale
Matrix factorization exploits the idea that, in complex high-dimensional data, the actual signal typically lies in lower-dimensional structures. These lower dimensional objects pro…
A hierarchical Bayesian non-asymptotic extreme value model for spatial data
Federica Stolf, Antonio Canale
Spatial maps of extreme precipitation are crucial in flood protection. With the aim of producing maps of precipitation return levels, we propose a novel approach to model a collect…
Numerical evaluation of dual norms via the MM algorithm
Bernardi Mauro, Marco Stefanucci, Antonio Canale
We deal with the problem of numerically computing the dual norm, which is important to study sparsity-inducing regularizations (Jenatton et al. 2011,Bach et al. 2012). The dual nor…
Locally Sparse Function on function Regression
Mauro Bernardi, Antonio Canale, Marco Stefanucci
In functional data analysis, functional linear regression has attracted significant attention recently. Herein, we consider the case where both the response and covariates are func…