LAMBARDI DI SAN MINIATO, Michele
LAMBARDI DI SAN MINIATO, Michele
DIES - DIPARTIMENTO DI SCIENZE ECONOMICHE E STATISTICHE
A Bayesian Two-Parameter Normal Ogive Model for Crowdsourced Fact-Checking
2024-01-01 LAMBARDI DI SAN MINIATO, Michele; Battauz, Michela; Bellio, Ruggero; Vidoni, Paolo
Adaptive filters for time-varying correlation parameters
2022-01-01 LAMBARDI DI SAN MINIATO, Michele; Bellio, Ruggero; Grassetti, Luca; Vidoni, Paolo
Bayesian aggregation of crowd judgments for quantitative fact checking
2023-01-01 LAMBARDI DI SAN MINIATO, Michele; Battauz, Michela; Bellio, Ruggero; Vidoni, Paolo
Bayesian ordinal regression for crowd-sourced fact-checking
2024-01-01 LAMBARDI DI SAN MINIATO, Michele; Battauz, Michela; Bellio, Ruggero; Vidoni, Paolo
Bias-Reduced Estimation of Mean Absolute Deviation Around the Median
2022-01-01 LAMBARDI DI SAN MINIATO, Michele
Efficient firms are all alike, but every inefficient firm is such in its own way: Heterogeneity of costs determinants in the Italian water sector
2023-01-01 Massarutto, Antonio; Grassetti, Luca; Lambardi di San Miniato, Michele; Moletta, Mattia
On prediction via equal-tailed intervals with an application to sensor data analytics
2023-01-01 LAMBARDI DI SAN MINIATO, Michele; Bellio, Ruggero; Grassetti, Luca; Vidoni, Paolo
Reliable simulation of extremely-truncated log-concave distributions
2024-01-01 Lambardi di San Miniato, M.; Kenne Pagui, E. C.
Robust regression and adaptive filtering
2022-01-01 LAMBARDI DI SAN MINIATO, Michele; Bellio, Ruggero; Grassetti, Luca; Vidoni, Paolo
Separable spatio-temporal kriging for fast virtual sensing
2022-01-01 LAMBARDI DI SAN MINIATO, Michele; Bellio, Ruggero; Grassetti, Luca; Vidoni, Paolo
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A Bayesian Two-Parameter Normal Ogive Model for Crowdsourced Fact-Checking | 1-gen-2024 | LAMBARDI DI SAN MINIATO, Michele; Battauz, Michela; Bellio, Ruggero; Vidoni, Paolo | |
| Adaptive filters for time-varying correlation parameters | 1-gen-2022 | LAMBARDI DI SAN MINIATO, Michele; Bellio, Ruggero; Grassetti, Luca; Vidoni, Paolo | |
| Bayesian aggregation of crowd judgments for quantitative fact checking | 1-gen-2023 | LAMBARDI DI SAN MINIATO, Michele; Battauz, Michela; Bellio, Ruggero; Vidoni, Paolo | |
| Bayesian ordinal regression for crowd-sourced fact-checking | 1-gen-2024 | LAMBARDI DI SAN MINIATO, Michele; Battauz, Michela; Bellio, Ruggero; Vidoni, Paolo | |
| Bias-Reduced Estimation of Mean Absolute Deviation Around the Median | 1-gen-2022 | LAMBARDI DI SAN MINIATO, Michele | |
| Efficient firms are all alike, but every inefficient firm is such in its own way: Heterogeneity of costs determinants in the Italian water sector | 1-gen-2023 | Massarutto, Antonio; Grassetti, Luca; Lambardi di San Miniato, Michele; Moletta, Mattia | |
| On prediction via equal-tailed intervals with an application to sensor data analytics | 1-gen-2023 | LAMBARDI DI SAN MINIATO, Michele; Bellio, Ruggero; Grassetti, Luca; Vidoni, Paolo | |
| Reliable simulation of extremely-truncated log-concave distributions | 1-gen-2024 | Lambardi di San Miniato, M.; Kenne Pagui, E. C. | |
| Robust regression and adaptive filtering | 1-gen-2022 | LAMBARDI DI SAN MINIATO, Michele; Bellio, Ruggero; Grassetti, Luca; Vidoni, Paolo | |
| Separable spatio-temporal kriging for fast virtual sensing | 1-gen-2022 | LAMBARDI DI SAN MINIATO, Michele; Bellio, Ruggero; Grassetti, Luca; Vidoni, Paolo |