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Mostrati risultati da 1 a 10 di 10
Statistical Models for Probability of Default: An Empirical Application to Italian Food Industry
2021-01-01 Zaccardi, Carlo
Adjusting for Unmeasured Spatial Confounding Through Shrinkage Methods
2022-01-01 Valentini, Pasquale; Schmidt Alexandra, M.; Zaccardi, Carlo; Ippoliti, Luigi
Gaussian Processes and Deep Neural Networks for Spatial Prediction
2023-01-01 Cucco, Alex; Ippoliti, Luigi; Pronello, Nicola; Valentini, Pasquale; Zaccardi, Carlo
A Flexible Bayesian Time-varying Coefficient Regression Model in Health Applications
2023-01-01 Zaccardi, Carlo; Valentini, Pasquale; Ippoliti, Luigi
A novel approach for spatiotemporal confounding bias reduction
2023-01-01 Zaccardi, Carlo; Valentini, Pasquale; Ippoliti, Luigi
A Bayesian State-Space Model to Mitigate Unmeasured Confounding
2023-01-01 Zaccardi, Carlo; Valentini, Pasquale; Ippoliti, Luigi
A Bayesian Spatio-Temporal Regression Approach for Confounding Adjustment
2023-01-01 Zaccardi, Carlo; Valentini, Pasquale; Ippoliti, Luigi
Confounding Adjustment with Spatio-temporal Data
2024-01-01 Zaccardi, Carlo; Valentini, Pasquale; Ippoliti, Luigi
Deep Learning to Address Spatial Confounding
2024-01-01 Ippoliti, Luigi; Valentini, Pasquale; Zaccardi, Carlo
Regularized principal spline functions to mitigate spatial confounding
2025-01-01 Zaccardi, Carlo; Valentini, Pasquale; Ippoliti, Luigi; M Schmidt, Alexandra
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Statistical Models for Probability of Default: An Empirical Application to Italian Food Industry | 2021 | Zaccardi, Carlo | |
| Adjusting for Unmeasured Spatial Confounding Through Shrinkage Methods | 2022 | Valentini, Pasquale; Schmidt Alexandra, M.; Zaccardi, Carlo; Ippoliti, Luigi | |
| Gaussian Processes and Deep Neural Networks for Spatial Prediction | 2023 | Cucco, Alex; Ippoliti, Luigi; Pronello, Nicola; Valentini, Pasquale; Zaccardi, Carlo | |
| A Flexible Bayesian Time-varying Coefficient Regression Model in Health Applications | 2023 | Zaccardi, Carlo; Valentini, Pasquale; Ippoliti, Luigi | |
| A novel approach for spatiotemporal confounding bias reduction | 2023 | Zaccardi, Carlo; Valentini, Pasquale; Ippoliti, Luigi | |
| A Bayesian State-Space Model to Mitigate Unmeasured Confounding | 2023 | Zaccardi, Carlo; Valentini, Pasquale; Ippoliti, Luigi | |
| A Bayesian Spatio-Temporal Regression Approach for Confounding Adjustment | 2023 | Zaccardi, Carlo; Valentini, Pasquale; Ippoliti, Luigi | |
| Confounding Adjustment with Spatio-temporal Data | 2024 | Zaccardi, Carlo; Valentini, Pasquale; Ippoliti, Luigi | |
| Deep Learning to Address Spatial Confounding | 2024 | Ippoliti, Luigi; Valentini, Pasquale; Zaccardi, Carlo | |
| Regularized principal spline functions to mitigate spatial confounding | 2025 | Zaccardi, Carlo; Valentini, Pasquale; Ippoliti, Luigi; M Schmidt, Alexandra |
Mostrati risultati da 1 a 10 di 10
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