Stefania Taralli
Biographic Data
| ID | 4261964 |
|---|---|
| NAME | Stefania Taralli |
| GIVEN NAMES | Stefania |
| FAMILY NAME | Taralli |
| SIGNATURE | TARALLI S |
| AFFILIATIONS | Istituto Nazionale di Statistica |
| ORCID | 0000-0003-0135-767X |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 13 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 1 |
Composite-Based Path Modeling for Conditional Quantiles Prediction. An Application to Assess Health Differences at Local Level in a Well-Being Perspective
Quantile composite-based path modeling is a recent extension to the conventional partial least squares path modeling. It estimates the effects that predictors exert on the whole conditional distributions of the outcomes involved in path models and provides a comprehensive view on the structure of the relationships among the variables. This method can also be used in a predictive way as it estimates model parameters for each quantile of interest a…
A Quantile Composite-Indicator Approach for the Measurement of Equitable and Sustainable Well-Being
A Quantile Composite-Indicator Approach for the Measurement of Equitable and Sustainable Well-Being
Composite-Based Path Modeling for Conditional Quantiles Prediction. An Application to Assess Health Differences at Local Level in a Well-Being Perspective
Quantile composite-based path modeling is a recent extension to the conventional partial least squares path modeling. It estimates the effects that predictors exert on the whole conditional distributions of the outcomes involved in path models and provides a comprehensive view on the structure of the relationships among the variables. This method can also be used in a predictive way as it estimates model parameters for each quantile of interest a…
A Quantile Composite-Indicator Approach for the Measurement of Equitable and Sustainable Well-Being
Composite-Based Path Modeling for Conditional Quantiles Prediction. An Application to Assess Health Differences at Local Level in a Well-Being Perspective
Quantile composite-based path modeling is a recent extension to the conventional partial least squares path modeling. It estimates the effects that predictors exert on the whole conditional distributions of the outcomes involved in path models and provides a comprehensive view on the structure of the relationships among the variables. This method can also be used in a predictive way as it estimates model parameters for each quantile of interest a…
Computer Science (2 works) · Econometrics (2 works) · Mathematics (2 works) · Path (computing (2 works) · Quantile (2 works) · Statistics (2 works) · Advanced Causal Inference Techniques (1 works) · Artificial Intelligence (1 works) · Construct (python library (1 works) · Economic geography (1 works)