| NIMBLE: MCMC, particle filtering, and programmable hierarchical modeling P de Valpine, C Paciorek, D Turek, N Michaud, C Anderson-Bergman, ... R package version 0.11 1, 2021 | 149 | 2021 |
| NIMBLE user manual P de Valpine, C Paciorek, D Turek, N Michaud, C Anderson-Bergman, ... R package manual version 0.9 1, 2020 | 58* | 2020 |
| NIMBLE: MCMC P De Valpine, C Paciorek, D Turek, N Michaud, C Anderson-Bergman, ... Particle Filtering, and Programmable Hierarchical Modeling 10, 2022 | 23 | 2022 |
| Centered partition processes: Informative priors for clustering (with discussion) S Paganin, AH Herring, AF Olshan, DB Dunson, TNBDP Study Bayesian analysis 16 (1), 301, 2020 | 23 | 2020 |
| NIMBLE: MCMC, Particle Filtering, and Programmable Hierarchical Modeling. 2020 P de Valpine, C Paciorek, D Turek, N Michaud, C Anderson-Bergman, ... R package version 0.13 1, 1992 | 17 | 1992 |
| Computational strategies and estimation performance with Bayesian semiparametric Item Response Theory models S Paganin, CJ Paciorek, C Wehrhahn, A Rodriguez, S Rabe-Hesketh, ... arXiv preprint arXiv:2101.11583, 2021 | 15 | 2021 |
| Bayesian modeling of networks in complex business intelligence problems D Durante, S Paganin, B Scarpa, DB Dunson Journal of the Royal Statistical Society: Series C (Applied Statistics) 66 …, 2015 | 14 | 2015 |
| Nimble: MCMC, Particle Filtering, and Programmable Hierarchical Modeling. R package version 0.9. 1 P De Valpine, C Paciorek, D Turek, N Michaud, C Anderson-Bergman, ... | 9 | 2020 |
| Bayesian nonparametric latent class analysis for different item types M Qiu, S Paganin, I Ohn, L Lin Multivariate Behavioral Research 58 (1), 156-157, 2023 | 6 | 2023 |
| NIMBLE User Manual; 2020 P de Valpine, C Paciorek, D Turek, N Michaud, C Anderson-Bergman, ... R package manual version 0.13 1, 0 | 5 | |
| compareMCMCs: An R package for studying MCMC efficiency P de Valpine, S Paganin, D Turek Journal of Open Source Software 7 (69), 3844, 2022 | 3 | 2022 |
| Informed Random Partition Models with Temporal Dependence S Paganin, GL Page, FA Quintana arXiv preprint arXiv:2311.14502, 2023 | 1 | 2023 |
| Allergic Rhinitis and Asthma: Relationship with Transverse Maxillary Contraction and Transverse Expansion Stability in Children G Ottaviano, L Favero, S Hajrulla, A Volpato, S Paganin, G Bissolotti, ... Applied Sciences 13 (5), 3200, 2023 | 1 | 2023 |
| Computational Methods for Fast Bayesian Model Assessment via Calibrated Posterior p-values S Paganin, P de Valpine Journal of Computational and Graphical Statistics, 1-12, 2024 | | 2024 |
| New Frontiers in Bayesian Statistics R Argiento, Raffaele/Camerlenghi Argiento (Federic), S Paganin | | 2022 |
| Semiparametric IRT models for non-normal latent traits S Paganin CLADAG 2021 BOOK OF ABSTRACTS AND SHORT PAPERS, 178, 2021 | | 2021 |
| Bayesian IRT models in NIMBLE. S Paganin, C Paciorek, P de Valpine Book of Short Papers SIS 2020, 644-649, 2020 | | 2020 |
| Domain knowledge based priors for clustering S Paganin Proceedings of the Conference of the Italian Statistical Society" Smart …, 2019 | | 2019 |
| Discussion on:" Latent nested nonparametric priors", Federico Camerlenghi, David B. Dunson, Antonio Lijoi, Igor Prünster, Abel Rodríguez, Bayesian Analysis 14, 4, 1303–1356 E Aliverti, S Paganin, T Rigon, M Russo BAYESIAN ANALYSIS, 2019 | | 2019 |
| Hierarchical Graphical Model E Aliverti, L Forastiere, T Padellini, S Paganin, E Wit Studies in Neural Data Science: StartUp Research 2017, Siena, Italy, June 25 …, 2018 | | 2018 |
Perry de ValpineEnvironmental Science, Policy and Management, University of California, BerkeleyPotvrđena adresa e-pošte na berkeley.edu