LEGRAMANTI, Sirio Statistiche
LEGRAMANTI, Sirio
Dipartimento di Scienze Economiche
[Contributed discussion on:] Robust Probabilistic Inference via a Constrained Transport Metric” by A. Chakraborty, A. Bhattacharya and D. Pati
2026-01-01 Catalano, Marta; Legramanti, Sirio
Bayesian Clustering of Brain Regions with Three-Dimensional Spatial Covariates
2026-01-01 Legramanti, Sirio; Paganin, Sally; Argiento, Raffaele
Bayesian Nonparametric Clustering for Spatiotemporal Data, With an Application to Air Pollution
2026-01-01 Aiello, Luca; Argiento, Raffaele; Legramanti, Sirio; Paci, Lucia
Gaffi, Legramanti, and Rimella’s contribution to the Discussion of ‘Regression by Composition’ by Farewell et al.
2026-06-15 Gaffi, Francesco; Legramanti, Sirio; Rimella, Lorenzo
A Spatial Product Partition Model for PM10 Data
2025-01-01 Aiello, Luca; Legramanti, Sirio; Paci, Lucia
Bootstrap-based tests for the total time on test and the excess wealth orders
2025-06-30 Lando, Tommaso; Legramanti, Sirio
Computationally Efficient Clustering of PM10 Time Series Data
2025-01-01 Aiello, Luca; Argiento, Raffaele; Legramanti, Sirio; Paci, Lucia
Concentration of discrepancy-based approximate Bayesian computation via Rademacher complexity
2025-01-01 Legramanti, Sirio; Durante, Daniele; Alquier, Pierre
A new class of nonparametric tests for second-order stochastic dominance based on the Lorenz P–P plot
2024-01-01 Lando, Tommaso; Legramanti, Sirio
Learning and forecasting of age-specific period mortality via B-spline processes with locally-adaptive dynamic coefficients
2024-08-05 Pavone, Federico; Legramanti, Sirio; Durante, Daniele
Binomial Extended Stochastic Block Model for Brain Networks
2023-01-01 Ghidini, Valentina; Legramanti, Sirio; Argiento, Raffaele
Extended Stochastic Block Model with Spatial Covariates for Weighted Brain Networks
2023-01-01 Ghidini, Valentina; Legramanti, Sirio; Argiento, Raffaele
Leveraging covariates in Bayesian nonparametric clustering: An application to transportation networks
2023-01-01 Legramanti, Sirio; Ghidini, Valentina; Argiento, Raffaele
Bayesian Analysis of Mortality in Iceland via Locally Adaptive Splines
2022-01-01 Pavone, Federico; Legramanti, Sirio
Bayesian Clustering of Brain Regions via Extended Stochastic Block Models
2022-01-01 Legramanti, Sirio; Rigon, Tommaso; Durante, Daniele
Bayesian cumulative shrinkage for infinite factorizations
2022-01-01 Legramanti, Sirio; Durante, Daniele; Dunson, David
Bayesian Testing for Exogenous Partition Structures in Stochastic Block Models
2022-01-01 Legramanti, Sirio; Rigon, Tommaso; Durante, Daniele
Extended stochastic block models with application to criminal networks
2022-01-01 Legramanti, Sirio; Rigon, Tommaso; Durante, Daniele; Dunson, David B.
Bayesian cumulative shrinkage for infinite factorizations
2020-01-01 Legramanti, Sirio; Durante, Daniele; Dunson, David B.
Variational Bayes for Gaussian Factor Models under the Cumulative Shrinkage Process
2020-01-01 Legramanti, Sirio
| Data di pubblicazione | Titolo | Autore/i | Tipologia | Documento allegato |
|---|---|---|---|---|
| 1-gen-2026 | [Contributed discussion on:] Robust Probabilistic Inference via a Constrained Transport Metric” by A. Chakraborty, A. Bhattacharya and D. Pati | Catalano, Marta; Legramanti, Sirio | 1.1 Contributi in rivista - Journal contributions::1.1.01 Articoli/Saggi in rivista - Journal Articles/Essays | |
| 1-gen-2026 | Bayesian Clustering of Brain Regions with Three-Dimensional Spatial Covariates | Legramanti, Sirio; Paganin, Sally; Argiento, Raffaele | 1.4 Contributi in atti di convegno - Contributions in conference proceedings::1.4.01 Contributi in atti di convegno - Conference presentations | |
| 1-gen-2026 | Bayesian Nonparametric Clustering for Spatiotemporal Data, With an Application to Air Pollution | Aiello, Luca; Argiento, Raffaele; Legramanti, Sirio; Paci, Lucia | 1.1 Contributi in rivista - Journal contributions::1.1.01 Articoli/Saggi in rivista - Journal Articles/Essays | |
| 15-giu-2026 | Gaffi, Legramanti, and Rimella’s contribution to the Discussion of ‘Regression by Composition’ by Farewell et al. | Gaffi, Francesco; Legramanti, Sirio; Rimella, Lorenzo | 1.1 Contributi in rivista - Journal contributions::1.1.01 Articoli/Saggi in rivista - Journal Articles/Essays | |
| 1-gen-2025 | A Spatial Product Partition Model for PM10 Data | Aiello, Luca; Legramanti, Sirio; Paci, Lucia | 1.4 Contributi in atti di convegno - Contributions in conference proceedings::1.4.01 Contributi in atti di convegno - Conference presentations | |
| 30-giu-2025 | Bootstrap-based tests for the total time on test and the excess wealth orders | Lando, Tommaso; Legramanti, Sirio | 1.1 Contributi in rivista - Journal contributions::1.1.01 Articoli/Saggi in rivista - Journal Articles/Essays | |
| 1-gen-2025 | Computationally Efficient Clustering of PM10 Time Series Data | Aiello, Luca; Argiento, Raffaele; Legramanti, Sirio; Paci, Lucia | 1.4 Contributi in atti di convegno - Contributions in conference proceedings::1.4.01 Contributi in atti di convegno - Conference presentations | |
| 1-gen-2025 | Concentration of discrepancy-based approximate Bayesian computation via Rademacher complexity | Legramanti, Sirio; Durante, Daniele; Alquier, Pierre | 1.1 Contributi in rivista - Journal contributions::1.1.01 Articoli/Saggi in rivista - Journal Articles/Essays | |
| 1-gen-2024 | A new class of nonparametric tests for second-order stochastic dominance based on the Lorenz P–P plot | Lando, Tommaso; Legramanti, Sirio | 1.1 Contributi in rivista - Journal contributions::1.1.01 Articoli/Saggi in rivista - Journal Articles/Essays | |
| 5-ago-2024 | Learning and forecasting of age-specific period mortality via B-spline processes with locally-adaptive dynamic coefficients | Pavone, Federico; Legramanti, Sirio; Durante, Daniele | 1.1 Contributi in rivista - Journal contributions::1.1.01 Articoli/Saggi in rivista - Journal Articles/Essays | |
| 1-gen-2023 | Binomial Extended Stochastic Block Model for Brain Networks | Ghidini, Valentina; Legramanti, Sirio; Argiento, Raffaele | 1.4 Contributi in atti di convegno - Contributions in conference proceedings::1.4.01 Contributi in atti di convegno - Conference presentations | |
| 1-gen-2023 | Extended Stochastic Block Model with Spatial Covariates for Weighted Brain Networks | Ghidini, Valentina; Legramanti, Sirio; Argiento, Raffaele | 1.4 Contributi in atti di convegno - Contributions in conference proceedings::1.4.01 Contributi in atti di convegno - Conference presentations | |
| 1-gen-2023 | Leveraging covariates in Bayesian nonparametric clustering: An application to transportation networks | Legramanti, Sirio; Ghidini, Valentina; Argiento, Raffaele | 1.4 Contributi in atti di convegno - Contributions in conference proceedings::1.4.02 Abstract in atti di convegno - Conference abstracts | |
| 1-gen-2022 | Bayesian Analysis of Mortality in Iceland via Locally Adaptive Splines | Pavone, Federico; Legramanti, Sirio | 1.4 Contributi in atti di convegno - Contributions in conference proceedings::1.4.01 Contributi in atti di convegno - Conference presentations | |
| 1-gen-2022 | Bayesian Clustering of Brain Regions via Extended Stochastic Block Models | Legramanti, Sirio; Rigon, Tommaso; Durante, Daniele | 1.4 Contributi in atti di convegno - Contributions in conference proceedings::1.4.01 Contributi in atti di convegno - Conference presentations | |
| 1-gen-2022 | Bayesian cumulative shrinkage for infinite factorizations | Legramanti, Sirio; Durante, Daniele; Dunson, David | 1.4 Contributi in atti di convegno - Contributions in conference proceedings::1.4.02 Abstract in atti di convegno - Conference abstracts | |
| 1-gen-2022 | Bayesian Testing for Exogenous Partition Structures in Stochastic Block Models | Legramanti, Sirio; Rigon, Tommaso; Durante, Daniele | 1.1 Contributi in rivista - Journal contributions::1.1.01 Articoli/Saggi in rivista - Journal Articles/Essays | |
| 1-gen-2022 | Extended stochastic block models with application to criminal networks | Legramanti, Sirio; Rigon, Tommaso; Durante, Daniele; Dunson, David B. | 1.1 Contributi in rivista - Journal contributions::1.1.01 Articoli/Saggi in rivista - Journal Articles/Essays | |
| 1-gen-2020 | Bayesian cumulative shrinkage for infinite factorizations | Legramanti, Sirio; Durante, Daniele; Dunson, David B. | 1.1 Contributi in rivista - Journal contributions::1.1.01 Articoli/Saggi in rivista - Journal Articles/Essays | |
| 1-gen-2020 | Variational Bayes for Gaussian Factor Models under the Cumulative Shrinkage Process | Legramanti, Sirio | 1.4 Contributi in atti di convegno - Contributions in conference proceedings::1.4.01 Contributi in atti di convegno - Conference presentations |