Nome Bortolato Elena
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XXXVI
Dottorando
Department of Statistical Sciences University of Padua
si
[ field_type]
2023-2024
Studio 146 - Telefono: 049 827 4124
elena.bortolato.1@phd.unipd.it, elena.bortolato@unipd.it
2020 - 2023
Laura Ventura
Pierre E. Jacob (ESSEC), Robin J. Ryder (PSL - CEREMADE)
October 2015 - July 2018: BSc in Statistics for Technology and Sciences, Department of Statistical Sciences, University of Padua. Final mark: 106/110.
October 2018 - September 2020: MSc in Statistical Sciences, Department of Statistical Sciences, University of Padua. Final mark: 110/110 cum laude.
Research fellow, February-July 2019, University of Padua (project n.2016-1-IT01-KA202-005396)
2019-2020 Tutoring (Calculus-BSc courses, Statistics-MSc course)
2023 Buinsess statistics and introduction to Data Analytics (ESSEC
2023-2024 Analisi dei dati multidimensionali
Modelli e metodi statistici per l'analisi musicale (BSc). Supervisor: Alessandra Rosalba Brazzale.
Bias reduction in the equicorrelated multivariate normal (MSc). Supervisor: Euloge Clovis Kenne Pagui.
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Advancements in Distribution Sampling for Statistical Inference (PhD) Supervisor: Laura Ventura
Scarpazza, C., Finos, L., Genon, S. et al. Idiopathic and acquired pedophilia as two distinct disorders: an insight from neuroimaging. Brain Imaging and Behavior (2021).
Bortolato, E., Kenne Pagui, E.C. Bias reduction in the equicorrelated multivariate normal. In: Book of Short Papers SIS (2021).
Bortolato, E., Kenne Pagui, E.C. (2023) Bias reduction and robustness for Gaussian longitudinal data analysis. Journal of Statistical Computation and Simulation
Bortolato, E., & Ventura, L. (2023). On approximate robust confidence distributions. Econometrics and Statistics.
Bortolato, E., & Ventura, L. (2024). Objective priors for invariant $e$-values in the presence of nuisance parameters. Entropy.
