| Removing the influence of group variables in high-dimensional predictive modelling E Aliverti, K Lum, JE Johndrow, DB Dunson Journal of the Royal Statistical Society Series A: Statistics in Society 184 …, 2021 | 20 | 2021 |
| Spatial modeling of brain connectivity data via latent distance models with nodes clustering E Aliverti, D Durante Statistical Analysis and Data Mining: The ASA Data Science Journal, 2019 | 17 | 2019 |
| Projected t-SNE for batch correction E Aliverti, JL Tilson, DL Filer, B Babcock, A Colaneri, J Ocasio, ... Bioinformatics 36 (11), 3522-3527, 2020 | 14 | 2020 |
| Dynamic modelling of mortality via mixtures of skewed distribution functions E Aliverti, S Mazzuco, B Scarpa Journal of the Royal Statistical Society Series A: Statistics in Society 185 …, 2022 | 8 | 2022 |
| Stratified stochastic variational inference for high-dimensional network factor model E Aliverti, M Russo Journal of Computational and Graphical Statistics 31 (2), 502-511, 2022 | 8 | 2022 |
| Empathy profiles differ by gender in people who have and have not attempted suicide P Scocco, E Aliverti, E Toffol, G Andretta, G Capizzi Journal of affective disorders reports 2, 100024, 2020 | 7 | 2020 |
| Are empathy profiles and perceived social support associated with depressive and grief‐related symptoms in suicide survivors? E Toffol, E Aliverti, C Idotta, G Capizzi, P Scocco, SOPROXI Team Journal of Clinical Psychology 78 (11), 2245-2259, 2022 | 6 | 2022 |
| Composite mixture of log-linear models for categorical data E Aliverti, DB Dunson The Annals of Applied Statistics, 2020 | 4 | 2020 |
| Spatial modeling of childcare services in Lombardia E Aliverti, S Campostrini, F Caldura, L Zanotto Book of short papers-SIS 2021, 1369-1374, 2021 | 3 | 2021 |
| Conjugate priors and bias reduction for logistic regression models T Rigon, E Aliverti Statistics & Probability Letters 202, 109901, 2023 | 2 | 2023 |
| Dynamic modeling of the Italians' attitude towards Covid‐19 E Aliverti, M Russo Statistics in Medicine 41 (26), 5189-5202, 2022 | 1 | 2022 |
| Spatial clusters for demand and supply of early childhood education and care services in Italy A Andreella, E Aliverti, F Caldura, S Campostrini Socio-Economic Planning Sciences 95, 102034, 2024 | | 2024 |
| A flexible two-piece normal dynamic linear model E Aliverti, RB Arellano-Valle, F Kahrari, B Scarpa Computational Statistics 38 (4), 2075-2096, 2023 | | 2023 |
| When does morbidity start? An analysis of changes in morbidity between 2013 and 2019 in Italy A Pastore, SF Tonellato, E Aliverti, S Campostrini Statistical Methods & Applications 32 (2), 577-591, 2023 | | 2023 |
| Bias-reduction methods for Poisson regression models L Presicce, T Rigon, E Aliverti Book of Short Papers of the Italian Statistical Society 2023, 2023 | | 2023 |
| Bayesian nonparametric dynamic modeling of psychological traits E Aliverti CLADAG, 25, 2021 | | 2021 |
| Causes of death patterns and life expectancy: looking for warning signals S Mazzuco, E Aliverti, D Durante, S Campostrini Preface XIX 1 Plenary Sessions, 16, 2021 | | 2021 |
| A discussion on:``Centered partition processes: Informative priors for clustering’’Paganin, S., Herring, AH, Olshan, AF, Dunson, DB, et al. T Rigon, E Aliverti, M Russo, B Scarpa Bayesian Analysis 16 (1), 348-350, 2021 | | 2021 |
| Projecting Proportionate Age–Specific Fertility Rates via Bayesian Skewed Processes E Aliverti, D Durante, B Scarpa Developments in Demographic Forecasting, 89, 2020 | | 2020 |
| Bayesian modelling of Facebook communities via latent factor models E Aliverti Book of short papers-SIS 2020, 2020 | | 2020 |
David DunsonArts & Sciences Professor of Statistical Science & MathematicsE-mail megerősítve itt: duke.edu
