Emanuele ALIVERTI
- Qualifica
- Docente a contratto
- Telefono
- 041 234 7682
-
emanuele.aliverti@unive.it
- SSD
- STATISTICA SOCIALE [SECS-S/05]
- Sito web
-
www.unive.it/persone/emanuele.aliverti (scheda personale)
Pubblicazioni
Anno | Tipologia | Pubblicazione |
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Anno | Tipologia | Pubblicazione |
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2022 | Articolo su rivista |
Toffol, Elena; Aliverti, Emanuele; Idotta, Carlo; Capizzi, Giovanna; Scocco, Paolo Are empathy profiles and perceived social support associated with depressive and grief‐related symptoms in suicide survivors? in JOURNAL OF CLINICAL PSYCHOLOGY, vol. in press (ISSN 0021-9762) DOI - Scheda ARCA: 10278/3763555 |
2022 | Articolo su rivista |
Emanuele Aliverti, David Dunson Composite mixture of log-linear models with applications to psychiatric studies in THE ANNALS OF APPLIED STATISTICS, vol. 16, pp. 765-790 (ISSN 1932-6157) DOI - Scheda ARCA: 10278/3743906 |
2022 | Articolo su rivista |
Emanuele Aliverti, Stefano Mazzuco, Bruno Scarpa Dynamic modelling of mortality via mixtures of skewed distribution functions in JOURNAL OF THE ROYAL STATISTICAL SOCIETY. SERIES A, STATISTICS IN SOCIETY, vol. in press (ISSN 1467-985X) DOI - Scheda ARCA: 10278/3750728 |
2022 | Articolo su rivista |
Pastore, Andrea; Tonellato, Stefano F; Aliverti, Emanuele; Campostrini, Stefano When does morbidity start? An analysis of changes in morbidity between 2013 and 2019 in Italy in STATISTICAL METHODS & APPLICATIONS, vol. in press, pp. 1-15 (ISSN 1618-2510) DOI - Scheda ARCA: 10278/5007280 |
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. 31, pp. 502-511 (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 |