Associate professor in Statistics since March 2025, she arrived at the University of Verona as temporary assistant professor in October 2021. She was awarded a PhD in Statistical Sciences from the University of Padova and visited for research periods the statistical departments of University College London and University of Toronto. In the area of methodological statistics, she is particularly interested in likelihood asymptotics, pseudo-likelihoods, anytime-valid inference and bias reduction techniques.
Modules running in the period selected: 8.
Click on the module to see the timetable and course details.
Di seguito sono elencati gli eventi e gli insegnamenti di Terza Missione collegati al docente:
Topic | Description | Research area |
---|---|---|
MSC 62F05 - Asymptotic properties of parametric tests | Study of the behaviour (size and power) in large samples of parametric tests based on the likelihood function or on pseudo-likelihoods, including settings with many nuisance parameters and/or other irregularity conditions. |
Quantitative Methods for Economics
Parametric inference |
MSC 62F12 - Asymptotic properties of estimators | Study of the behaviour (consistency, bias, efficiency) in large samples of parametric estimators based on the likelihood function or on pseudo-likelihoods, including settings with many nuisance parameters and/or other irregularity conditions. |
Quantitative Methods for Economics
Parametric inference |
MSC 62F25 - Tolerance and confidence regions | This research area includes the development of so-called anytime-valid confidence sequences for unknown parameters in particular modelling frameworks, as opposed to the usual confidence regions valid only for a fixed sample size. Such confidence sequences guarantee a high coverage probability for the true parameter value even under optional stopping of the experiment and arbitrary enlargement of the sample. |
Quantitative Methods for Economics
Parametric inference |
MSC 62H12 - Estimation | Estimation and hypotesis testing procedures based on the likelihood function or on pseudo-likelihoods in the presence of high-dimensional data having a potentially complex distribution. |
Quantitative Methods for Economics
Multivariate analysis |
Office | Collegial Body |
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Collegio didattico di Economia e innovazione aziendale - Department Management | |
member | Economics Department Council - Department Economics |
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