About Me
I am a PhD researcher in Statistics, and I have recently submitted my dissertation titled
"Essays on Dynamic Models for Latent Structures", supervised by Prof.
Monia Lupparelli
(University of Florence, Department of Statistics) and Prof.
Mauro Bernardi
(University of Padova, Department of Statistics).
During my PhD, I had the opportunity to enrich my research experience with a visiting period at the
Statistics Group
of Universitat Pompeu Fabra (UPF) in Barcelona, supervised by Prof.
David Rossell.
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My research interests include:
- Bayesian Inference
- Dynamic networks
- Time series and dynamic models
- Computational methods
- Applications in economics, biology and environmental sciences
Publications
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Bertelli, E., Mercatelli, L., Marzi, C., Pachetti, E., Baccini, M., Barucci, A., Colantonio, S., Gherardini, L., Lattavo, L., Pascali, M. A., Agostini, S., & Miele, V. (2022). Machine and Deep Learning Prediction of Prostate Cancer Aggressiveness Using Multiparametric MRI. In Frontiers in Oncology, Vol. 11. -
Scalorbi, F., Argiroffi, G., Baccini, M., Gherardini, L., Fuoco, V., Prinzi, N., Pusceddu, S., Garanzini, E. M., Centonze, G., Kirienko, M., Seregni, E., Milione, M., & Maccauro, M. (2021). Application of FLIC model to predict adverse events onset in neuroendocrine tumors treated with PRRT. In Scientific Reports, Vol. 11.
Ongoing Projects
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Gherardini, L., Lupparelli, M., Bernardi, M. (2024). Dynamic networks models with time-varying nodes. In preparation.
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Gherardini, L., Rossell, D. (2024). Markov Switching dynamic variable selection via non-local priors. In preparation.
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Gherardini, L., Lupparelli, M., Baccini, M., Sera, F., Marzi, C. (2024). Dynamic Stochastic Blockmodel for vector autoregression. In preparation.