selected publications

for a complete list of publications refer to the curriculum vitae

Journal Articles

  1. A flexible two-piece normal dynamic linear model
    Emanuele AlivertiReinaldo B. Arellano-Valle, Fereshteh Kharari and Bruno Scarpa
    Computational Statistics, 2023
  2. Conjugate priors and bias reduction for logistic regression models
    Tommaso Rigon and Emanuele Aliverti
    Statistics and Probability Letters, 2023
  1. Dynamic modeling of the Italians’ attitude towards Covid-19
    Emanuele Aliverti and Massimiliano Russo
    Statistics in Medicine, 2022
  2. Dynamic modelling of mortality via mixtures of skewed distribution functions
    Emanuele AlivertiStefano Mazzuco and Bruno Scarpa
    Journal of the Royal Statistical Society: Series A (Statistics in Society), 2022
  3. When does morbidity start? An analysis of changes in morbidity between 2013 and 2019 in Italy
    Andrea Pastore, Stefano Tonellato, Emanuele Aliverti and Stefano Campostrini
    Statistical Methods & Applications, 2022
  4. Stratified Stochastic Variational Inference for High-Dimensional Network Factor Model
    Emanuele Aliverti and Massimiliano Russo
    Journal of Computational and Graphical Statistics, 2022
  5. Composite mixture of log-linear models with application to psychiatric studies
    Emanuele Aliverti and David B. Dunson
    The Annals of Applied Statistics, 2022
  1. Removing the influence of group variables in high-dimensional predictive modelling
    Emanuele Aliverti, Kristian Lum, James E. Johndrow and David B. Dunson
    Journal of the Royal Statistical Society: Series A (Statistics in Society), 2021
  1. Projected t-SNE for batch correction
    Emanuele Aliverti, Jeffrey L. Tilson, Dayne L. Filer, Benjamin Babcock, Alejandro Colaneri, Jennifer Ocasio, Timothy R. Gershon, Kirk C. Wilhelmsen and David B. Dunson
    Bioinformatics, 2020
  1. Spatial modeling of brain connectivity data via latent distance models with nodes clustering
    Emanuele Aliverti and Daniele Durante
    Statistical Analysis and Data Mining: The ASA Data Science Journal, 2019