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Research

"It gets easier... Every day it gets a little easier...
But you gotta do it every day - that’s the hard part.
But it does get easier."

Research interests

Bayesian Stastistics, Bayesian Nonparametrics, Computational Methods, Applied Statistics

Articles in refereed journals

1. Allegra, M., Facco, E. , Denti, F., Laio, A., and Mira, A.
   Data segmentation based on the local intrinsic dimension
   Scientific Reports, 2020 - Article
2. Denti, F., Guindani, M., Leisen, F., Lioji, A., and Vannucci, M.
   Two-group Poisson-Dirichlet mixtures for multiple testing
   Biometrics, 2020 - Article
3. Petazzoni, M., De Giacinto, E., Troiano, D., Denti, F., and Buiatti, M.
   Computed Tomographic Trochlear Depth Measurement in Normal Dogs
   Journal of Veterinary and Comparative Orthopaedics and Traumatology, 2018
4. Menicagli, R., Denti, F.
   First results if an in vitro study on the effects of green tea on the defensive layer of the oral cavity
   International Journal of Current Research, 2016

Book chapters, short papers, and proceedings

1. Denti, F., Cappozzo, A., and Greselin, F.
   Bayesian nonparametric adaptive classification with robust prior information
   in A. Pollice, N. Salvati, & F. Schirripa Spagnolo (a cura di), Book of Short Papers SIS 2020 (pp. 655-660). Pearson.
2. Caponera, A., Denti, F., Rigon, T., Sottosanti, A., and Gelfand, A.
   Hierarchical Spatio-Temporal Modeling of Resting State fMRI Data
   in Studies in Neural Data Science (Canale, A., Durante, D., Paci, L., Scarpa, B., editors), 2018

Submitted and working papers

1. Denti, F., Camerlenghi, F., Guindani, M., and Mira, A.
   A Common Atom Model for the Bayesian Nonparametric Analysis of Nested Data
   Submitted - Preprint
2. Denti, F., Cappozzo, A., and Greselin, F.
   A Two-Stage Bayesian Nonparametric Model for Novelty Detection with Robust Prior Information
   Submitted - Preprint
3. Santos-Fernandez, E., Denti, F., Mengersen, K., and Mira A.
   The role of intrinsic dimension in high-resolution player tracking data – Insights in basketball
   Submitted - Preprint
4. Denti, F., Peluso, S., Guindani, M., and Mira, A.
   Multiple hypothesis screening using non-local mixtures
   Under Revision
5. Denti, F.
   intRinsic: an R package for the package for model-based estimation of the intrinsic dimension of a dataset
   Under Revision - Preprint

Software

• intRinsic - R package - Github Repo

Service to Profession and Affiliations

Reviewer for (alphabetical order)

Advances in Statistical Analysis, Bayesian Analysis, Biometrics, Computational Statistics & Data Analysis, International Statistical Review, Technometrics, Statistics and Computing, Statistical Methods and Applications, 2021 SBSS Student Paper Competition

Others

• Associate Editor for the ISBA bulletin - News of the World section
• Member of Complex Data Modeling Research Network