selected publications | Emanuele Aliverti

Journal Articles

http
Spatial clusters for demand and supply of early childhood education and care services in Italy

Angela Andreella, Emanuele Aliverti, Federico Caldura and Stefano Campostrini

Socio-Economic Planning Sciences, 2024

Bib Cit

Andreella, A., Aliverti, E., Caldura, F., and Campostrini, S. 2024. Spatial clusters for demand and supply of early childhood education and care services in Italy. Socio-Economic Planning Sciences, 95
@article{andreella2024, author = {Andreella, Angela and Aliverti, Emanuele and Caldura, Federico and Campostrini, Stefano}, journal = {Socio-Economic Planning Sciences}, pages = {102034}, year = {2024}, publisher = {Elsevier}, doi = {10.1016/j.seps.2024.102034} }

A flexible two-piece normal dynamic linear model

Emanuele Aliverti, Reinaldo Boris Arellano-Valle, Fereshteh Kahrari and Bruno Scarpa

Computational Statistics, 2023

@article{arellano23,
  title = {A flexible two-piece normal dynamic linear model},
  author = {Aliverti, Emanuele and Arellano-Valle, Reinaldo Boris and Kahrari, Fereshteh and Scarpa, Bruno},
  journal = {Computational Statistics},
  volume = {38},
  number = {4},
  pages = {2075--2096},
  year = {2023},
  publisher = {Springer},
}

http arXiv
Conjugate priors and bias reduction for logistic regression models

Tommaso Rigon and Emanuele Aliverti

Statistics and Probability Letters, 2023

Bib Cit Code

Rigon, T., & Aliverti, E. (2023). Conjugate priors and bias reduction for logistic regression models. Statistics & Probability Letters, 202, 109901.
@article{Rigon-bias23, title = {Conjugate priors and bias reduction for logistic regression models}, author = {Rigon, Tommaso and Aliverti, Emanuele}, journal = {Statistics and Probability Letters}, doi = {doi.org/10.1016/j.spl.2023.109901}, year = {2023}, }

http arXiv

Dynamic modeling of the Italians’ attitude towards Covid-19

Emanuele Aliverti and Massimiliano Russo

Statistics in Medicine, 2022

Bib Cit

@article{Aliverti-covid22,
  title = {Dynamic modeling of the Italians' attitude towards Covid-19},
  author = {Aliverti, Emanuele and Russo, Massimiliano},
  journal = {Statistics in Medicine},
  year = {2022},
  volume = {41},
  number = {26},
  pages = {5189-5202},
  doi = {https://doi.org/10.1002/sim.9560},
}

http arXiv

Dynamic modelling of mortality via mixtures of skewed distribution functions

Emanuele Aliverti, Stefano Mazzuco and Bruno Scarpa

Journal of the Royal Statistical Society: Series A (Statistics in Society), 2022

Bib Cit

@article{Aliverti-dysm22,
  author = {Aliverti, Emanuele and Mazzuco, Stefano and Scarpa, Bruno},
  title = {Dynamic modelling of mortality via mixtures of skewed distribution functions},
  journal = {Journal of the Royal Statistical Society: Series A (Statistics in Society)},
  volume = {185},
  number = {3},
  pages = {1030-1048},
  keywords = {Bayesian inference, dynamic modelling, mixture model, skew-normal distribution},
  doi = {https://doi.org/10.1111/rssa.12808},
  year = {2022},
}

http

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

Bib Cit

@article{Pastore-passi22,
  title = {When does morbidity start? An analysis of changes in morbidity between 2013 and 2019 in Italy},
  author = {Pastore, Andrea and Tonellato, Stefano and Aliverti, Emanuele and Campostrini, Stefano},
  journal = {Statistical Methods \& Applications},
  year = {2022},
  volume = {(in press)},
  doi = {https://doi.org/10.1007/s10260-022-00668-9},
}

http arXiv

Stratified Stochastic Variational Inference for High-Dimensional Network Factor Model

Emanuele Aliverti and Massimiliano Russo

Journal of Computational and Graphical Statistics, 2022

Bib Cit Code

@article{aliverti-svilf22,
  author = {Aliverti, Emanuele and Russo, Massimiliano},
  title = {Stratified Stochastic Variational Inference for High-Dimensional Network Factor Model},
  journal = {Journal of Computational and Graphical Statistics},
  volume = {31},
  number = {2},
  pages = {502-511},
  year = {2022},
  publisher = {Taylor & Francis},
  doi = {10.1080/10618600.2021.1984929},
  url = {https://doi.org/10.1080/10618600.2021.1984929},
}

http arXiv

Composite mixture of log-linear models with application to psychiatric studies

Emanuele Aliverti and David B. Dunson

The Annals of Applied Statistics, 2022

Bib Cit

@article{Aliverti-mills22,
  author = {Aliverti, Emanuele and Dunson, David B.},
  title = {{Composite mixture of log-linear models with application to psychiatric studies}},
  volume = {16},
  journal = {The Annals of Applied Statistics},
  number = {2},
  publisher = {Institute of Mathematical Statistics},
  pages = {765 -- 790},
  keywords = {Bayesian modelling, categorical data, Contingency table, log-linear models, mixture model, Psychiatric profiles},
  year = {2022},
  doi = {10.1214/21-AOAS1515},
  url = {https://doi.org/10.1214/21-AOAS1515},
}

http arXiv

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

Bib Cit

@article{Aliverti-sog21,
  author = {Aliverti, Emanuele and Lum, Kristian and Johndrow, James E. and Dunson, David B.},
  title = {Removing the influence of group variables in high-dimensional predictive modelling},
  journal = {Journal of the Royal Statistical Society: Series A (Statistics in Society)},
  volume = {184},
  number = {3},
  pages = {791-811},
  keywords = {batch effects, constrained optimization, criminal justice, neuroscience, orthogonal predictions, predictive modelling, singular value decomposition},
  doi = {https://doi.org/10.1111/rssa.12613},
  url = {https://rss.onlinelibrary.wiley.com/doi/abs/10.1111/rssa.12613},
  year = {2021},
}

http arXiv
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

Bib Cit Code

Emanuele Aliverti, Jeffrey L Tilson, Dayne L Filer, Benjamin Babcock, Alejandro Colaneri, Jennifer Ocasio, Timothy R Gershon, Kirk C Wilhelmsen, David B Dunson (2020) Projected t-SNE for batch correction, Bioinformatics, Volume 36, Issue 11, Pages 3522–3527
@article{Aliverti-tsne20, author = {Aliverti, Emanuele and Tilson, Jeffrey L. and Filer, Dayne L. and Babcock, Benjamin and Colaneri, Alejandro and Ocasio, Jennifer and Gershon, Timothy R. and Wilhelmsen, Kirk C. and Dunson, David B.}, title = {{Projected t-SNE for batch correction}}, journal = {Bioinformatics}, volume = {36}, number = {11}, pages = {3522-3527}, year = {2020}, issn = {1367-4803}, doi = {10.1093/bioinformatics/btaa189}, }

http

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

Bib Cit

@article{Aliverti-brain19,
  author = {Aliverti, Emanuele and Durante, Daniele},
  title = {Spatial modeling of brain connectivity data via latent distance models with nodes clustering},
  journal = {Statistical Analysis and Data Mining: The ASA Data Science Journal},
  volume = {12},
  number = {3},
  pages = {185-196},
  keywords = {latent space model, mixture of Gaussians prior, spatial effect, structural brain network},
  doi = {https://doi.org/10.1002/sam.11412},
  url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/sam.11412},
  year = {2019},
}