Michela Battauz
Biographic Data
| ID | 8867118 |
|---|---|
| NAME | Michela Battauz |
| GIVEN NAMES | Michela |
| FAMILY NAME | Battauz |
| SIGNATURE | BATTAUZ M |
| AFFILIATIONS | University of Udine |
| ORCID | 0000-0002-3098-689X |
| VERIFIED | Yes |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 1 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2020 |
| H-INDEX | 0 |
Regularized Estimation of the Nominal Response Model
The nominal response model is an item response theory model that does not require the ordering of the response options. However, while providing a very flexible modeling approach of polytomous responses, it involves the estimation of many parameters at the risk of numerical instability and overfitting. The lasso is a technique widely used to achieve model selection and regularization. In this paper, we propose the use of a fused lasso penalty to …
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Regularized Estimation of the Nominal Response Model
The nominal response model is an item response theory model that does not require the ordering of the response options. However, while providing a very flexible modeling approach of polytomous responses, it involves the estimation of many parameters at the risk of numerical instability and overfitting. The lasso is a technique widely used to achieve model selection and regularization. In this paper, we propose the use of a fused lasso penalty to …
Artificial Intelligence (1 work) · Artificial Intelligence (1 work) · Artificial neural network (1 work) · Computer Science (1 work) · Item response theory (1 work) · Lasso (programming language) (1 work) · Machine learning (1 work) · Mathematics (1 work) · Model selection (1 work) · Optimal Experimental Design Methods (1 work)