Emanuele Aliverti

Fair Predictive Algorithms

David B. Dunson, Kristian Lum, James E. Johndrow, 2018 .

Removing the influence of group variables in high‐dimensional predictive modelling

David B. Dunson, Kristian Lum, James E. Johndrow, 2018, Journal of the Royal Statistical Society. Series A,.

Stratified stochastic variational inference for high-dimensional network factor model

Massimiliano Russo, Emanuele Aliverti, 2020 .

Spatial modeling of brain connectivity data via latent distance models with nodes clustering

Daniele Durante, Emanuele Aliverti, Daniele Durante, 2019, Stat. Anal. Data Min..

A Bayesian semiparametric model for terrorist networks

Emanuele Aliverti, 2017 .

Hierarchical Graphical Model for Learning Functional Network Determinants

Ernst Wit, Sally Paganin, Emanuele Aliverti, 2017 .

Batch correction of high-dimensional data

David B. Dunson, Emanuele Aliverti, Kirk C. Wilhelmsen, 2019 .

Composite mixture of log-linear models for categorical data

David B. Dunson, Emanuele Aliverti, D. Dunson, 2020, 2004.01462.

Spatial modeling of brain connectivity data

Daniele Durante, Emanuele Aliverti, 2017 .

Dynamic modelling of mortality via mixtures of skewed distribution functions

Bruno Scarpa, Stefano Mazzuco, Emanuele Aliverti, 2021, Journal of the Royal Statistical Society: Series A (Statistics in Society).

Dynamic modeling of the Italians' attitude towards Covid-19

Emanuele Aliverti, Massimilano Russo, 2021 .