ALIVERTI Emanuele

Qualifica
Ricercatore
Telefono
041 234 9214
E-mail
emanuele.aliverti@unive.it
SSD
STATISTICA [SECS-S/01]
Sito web
www.unive.it/persone/emanuele.aliverti (scheda personale)
Struttura
Dipartimento di Economia
Sito web struttura: https://www.unive.it/dip.economia
Sede: San Giobbe

Pubblicazioni

Anno Tipologia Pubblicazione
Anno Tipologia Pubblicazione
2021 Articolo su rivista Tommaso Rigon, Emanuele Aliverti, Massimiliano Russo, Bruno Scarpa A discussion on: ``Centered partition processes: Informative priors for clustering’’ Paganin, S., Herring, A. H., Olshan, A. F., Dunson, D. B., et al. in BAYESIAN ANALYSIS, vol. 16, pp. 348-350 (ISSN 1936-0975)
DOI - Scheda ARCA: 10278/3740797
2021 Articolo su rivista Emanuele Aliverti, Kristian Lum, James Johndrow, David B. Dunson Removing the influence of a group variable in high-dimensional predictive modelling in JOURNAL OF THE ROYAL STATISTICAL SOCIETY. SERIES A. STATISTICS IN SOCIETY, vol. 184, pp. 791-811 (ISSN 0964-1998)
DOI - Scheda ARCA: 10278/3732460
2021 Articolo su rivista Emanuele Aliverti, Massimiliano Russo Stratified stochastic variational inference for high-dimensional network factor model in JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, vol. in press (ISSN 1061-8600)
DOI - Scheda ARCA: 10278/3743850
2021 Articolo in Atti di convegno Stefano Mazzuco, Emanuele Aliverti, Daniele Durante, Stefano Campostrini Causes of death patterns and life expectancy: looking for warning signals , Book of short papers - SIS 2021, Pearson, pp. 16-21, Convegno: 50th Scientific Meeting of the Italian Statistical Society (ISBN 9788891927361)
- Scheda ARCA: 10278/3740795
2021 Articolo in Atti di convegno Emanuele Aliverti, Stefano Campostrini, Federico Caldura, Lucia Zanotto Spatial modeling of childcare services in Lombardia , Book of short papers - SIS 2021, Pearson, pp. 1369-1374, Convegno: 50th Scientific Meeting of the Italian Statistical Society (ISBN 9788891927361)
- Scheda ARCA: 10278/3740796
2021 Abstract in Atti di convegno Emanuele Aliverti Bayesian nonparametric dynamic modeling of psychological traits , CLADAG 2021 BOOK OF ABSTRACTS AND SHORT PAPERS, Firenze University Press, pp. 25-26, Convegno: CLADAG 2021 - 13th Scientific Meeting of the Classification and Data Analysis Group (ISBN 9788855183406)
DOI - Scheda ARCA: 10278/3743090
2021 Working paper Emanuele Aliverti, Stefano Mazzuco, Bruno Scarpa Dynamic modeling of mortality via mixtures of skewed distribution functions
- Scheda ARCA: 10278/3736247
2020 Tesi di Dottorato Emanuele Aliverti, Bayesian modelling of complex dependence structures , Università degli Studi di Padova
- Scheda ARCA: 10278/3732472
2020 Articolo su rivista Scocco, Paolo; Aliverti, Emanuele; Toffol, Elena; Andretta, Giuliana; Capizzi, Giovanna Empathy profiles differ by gender in people who have and have not attempted suicide in JOURNAL OF AFFECTIVE DISORDERS REPORTS, vol. 2, pp. 100024 (ISSN 2666-9153)
DOI - Scheda ARCA: 10278/3734680
2020 Articolo su rivista Aliverti E.; Tilson J.L.; Filer D.L.; Babcock B.; Colaneri A.; Ocasio J.; Gershon T.R.; Wilhelmsen K.C.; Dunson D.B. Projected t-SNE for batch correction in BIOINFORMATICS, vol. 36, pp. 3522-3527 (ISSN 1367-4803)
DOI - Scheda ARCA: 10278/3740789
2020 Articolo su libro Emanuele Aliverti, Daniele Durante, Scarpa Bruno Projecting Proportionate Age–Specific Fertility Rates via Bayesian Skewed Processes , Developments in Demographic Forecasting, Springer International Publishing, pp. 89-103 (ISBN 978-3-030-42471-8)
DOI - Scheda ARCA: 10278/3732482
2020 Articolo in Atti di convegno Emanuele Aliverti, Bayesian modelling of Facebook communities via latent factor models , Book of short papers - SIS 2020, Pearson, Convegno: 50th Scientific Meeting of the Italian Statistical Society (ISBN 9788891910776)
- Scheda ARCA: 10278/3732468
2020 Working paper Emanuele Aliverti; David B. Dunson Composite mixture of log-linear models with application to psychiatric studies
- Scheda ARCA: 10278/3734681
2019 Articolo su rivista Emanuele Aliverti, Sally Paganin, Tommaso Rigon, Massimiliano Russo, Discussion on: "Latent nested nonparametric priors" in BAYESIAN ANALYSIS, vol. 14 (ISSN 1936-0975)
- Scheda ARCA: 10278/3732476
2019 Articolo su rivista Aliverti E.; Durante D. Spatial modeling of brain connectivity data via latent distance models with nodes clustering in STATISTICAL ANALYSIS AND DATA MINING, vol. 12, pp. 185-196 (ISSN 1932-1864)
DOI - Scheda ARCA: 10278/3740791
2018 Articolo su libro Emanuele Aliverti, Laura Forastiere, Tullia Padellini, Sally Paganin, Ernst Wit Hierarchical Graphical Model for Learning Functional Network Determinants in Antonio Canale, Daniele Durante, Lucia Paci, Bruno Scarpa, Studies in Neural Data Science, Springer International Publishing, vol. 257 (ISBN 978-3-030-00038-7; 978-3-030-00039-4) (ISSN 2194-1009)
DOI - Scheda ARCA: 10278/3740792
2017 Articolo in Atti di convegno Emanuele Aliverti A Bayesian semiparametric model for terrorist networks , Book of short papers - SIS 2017, Firenze University Press, Convegno: SIS 17 (ISBN 978-88-6453-521-0)
- Scheda ARCA: 10278/3743848
2017 Articolo in Atti di convegno Daniele Durante, Emanuele Aliverti Spatial modeling of brain connectivity data , CLADAG 2017 BOOK OF ABSTRACTS AND SHORT PAPERS, Universitas Studiorum, Convegno: CLADAG 2017 - Scientific Meeting of the Classification and Data Analysis Group (ISBN 978-88-99459-71-0)
- Scheda ARCA: 10278/3743845