Michela Battauz
Associate Professor
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About
Michela Battauz is an Associate Professor at the University of Udine, Italy. Her research areas include statistical methods in psychometrics, particularly focusing on item response theory, linear mixed models, and equating methodologies. She has contributed significantly to the field through her recent publications, including works on kernel equating and likelihood approaches in psychometric models.
Articles (8)
Year:
2025
A boosting method to select the random effects in linear mixed models
This paper proposes a novel likelihood-based boosting method for the selection of the random effects in linear mixed models. The nonconvexity of the objective function to minimize, which is the negative profile log-likelihood, requires the adoption of new solutions. In this respect, our optimization approach also employs the directions of negative curvature besides the usual Newton directions. A simulation study and a real-data application show the good performance of the proposal.
Year:
2024
Collaborators (3)
Waldir Leôncio
University of Oslo
Paolo Vidoni
University of Udine
Marie Wiberg
Professor
Umea University
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