MARCIS, Laura
MARCIS, Laura
Dipartimento di Economia e Giurisprudenza
A Predictive Functional Principal Component Analysis of Well-Being Data
2023-01-01 Marcis, Laura; Pagliarella, Maria Chiara; Salvatore, Renato
A Random-Coefficients Analysis with a Multivariate Random-Coefficients Linear Model
2023-01-01 Marcis, Laura; Pagliarella, Maria Chiara; Salvatore, Renato
A Redundancy Analysis with Multivariate Random-Coefficients Linear Models
2021-01-01 Marcis, Laura; Pagliarella, Maria Chiara; Salvatore, Renato
A three-way “indirect” redundancy analysis
2023-01-01 Marcis, Laura; Pagliarella, Maria Chiara; Salvatore, Renato
How the sampling variances affect the linear predictor of the Fay-Herriot model
2023-01-01 Marcis, Laura; Pagliarella, Maria Chiara; Salvatore, Renato
Introducing a "Shift" predictor in the Multivariate Small Area Estimation
2023-10-24 Marcis, Laura
On benchmarking small area estimators when the model is misspecified
2021-01-01 Marcis, Laura; Chiara Pagliarella, Maria; Salvatore, Renato
On Predicting Principal Components through Linear Mixed Models
2021-01-01 Balzano, Simona; Bozic, Maja; Marcis, Laura; Salvatore, Renato
Predictive principal components analysis
2019-01-01 Balzano, Simona; Bozic, Maja; Marcis, Laura; Salvatore, Renato
SIS 2023 - Statistical Learning, Sustainability and Impact Evaluation. Book of Short papers
2023-01-01 Marcis, Laura; Pagliarella, Maria Chiara; Salvatore, Renato
The spatio-temporal Fay-Herriot model using the state-space method: an application to Italian Lombard agrarian sub-regions
2024-01-01 Carillo, Felicetta; Maranzano, Paolo; Marcis, Laura; Pagliarella, Maria Chiara; Salvatore, Renato
Three-fold Fay–Herriot model for small area estimation and its diagnostics
2023-01-01 Marcis, Laura; Morales, Domingo; Pagliarella, Maria Chiara; Salvatore, Renato
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A Predictive Functional Principal Component Analysis of Well-Being Data | 1-gen-2023 | Marcis, Laura; Pagliarella, Maria Chiara; Salvatore, Renato | |
| A Random-Coefficients Analysis with a Multivariate Random-Coefficients Linear Model | 1-gen-2023 | Marcis, Laura; Pagliarella, Maria Chiara; Salvatore, Renato | |
| A Redundancy Analysis with Multivariate Random-Coefficients Linear Models | 1-gen-2021 | Marcis, Laura; Pagliarella, Maria Chiara; Salvatore, Renato | |
| A three-way “indirect” redundancy analysis | 1-gen-2023 | Marcis, Laura; Pagliarella, Maria Chiara; Salvatore, Renato | |
| How the sampling variances affect the linear predictor of the Fay-Herriot model | 1-gen-2023 | Marcis, Laura; Pagliarella, Maria Chiara; Salvatore, Renato | |
| Introducing a "Shift" predictor in the Multivariate Small Area Estimation | 24-ott-2023 | Marcis, Laura | |
| On benchmarking small area estimators when the model is misspecified | 1-gen-2021 | Marcis, Laura; Chiara Pagliarella, Maria; Salvatore, Renato | |
| On Predicting Principal Components through Linear Mixed Models | 1-gen-2021 | Balzano, Simona; Bozic, Maja; Marcis, Laura; Salvatore, Renato | |
| Predictive principal components analysis | 1-gen-2019 | Balzano, Simona; Bozic, Maja; Marcis, Laura; Salvatore, Renato | |
| SIS 2023 - Statistical Learning, Sustainability and Impact Evaluation. Book of Short papers | 1-gen-2023 | Marcis, Laura; Pagliarella, Maria Chiara; Salvatore, Renato | |
| The spatio-temporal Fay-Herriot model using the state-space method: an application to Italian Lombard agrarian sub-regions | 1-gen-2024 | Carillo, Felicetta; Maranzano, Paolo; Marcis, Laura; Pagliarella, Maria Chiara; Salvatore, Renato | |
| Three-fold Fay–Herriot model for small area estimation and its diagnostics | 1-gen-2023 | Marcis, Laura; Morales, Domingo; Pagliarella, Maria Chiara; Salvatore, Renato |