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.

BJH - S2 finale

Research interests

Bayesian Stastistics, Bayesian Nonparametrics, Computational Methods, Applied Statistics

Articles in refereed journals

Il testo che avrei voluto scrivere non è di certo questo
Perciò dovrò continuare a scrivere perché di certo riesco
(Prima o poi)

Michele Salvemini - Translation

On Statistical Journals

  1. Santos-Fernandez, E., Denti, F., Mengersen, K., and Mira A.
    The role of intrinsic dimension in high-resolution player tracking data – Insights in basketball
    To appear on the Annals of Applied Statistics, 2021 - Preprint
  2. Denti, F., Camerlenghi, F., Guindani, M., and Mira, A.
    A Common Atom Model for the Bayesian Nonparametric Analysis of Nested Data
    Journal of the American Statistical Association, 2021 - Article - Preprint
  3. Denti, F., Cappozzo, A., and Greselin, F.
    A Two-Stage Bayesian Semiparametric Model for Novelty Detection with Robust Prior Information
    Statistics and Computing, 2021 - Article - Preprint
  4. Allegra, M., Facco, E. , Denti, F., Laio, A., and Mira, A.
    Data segmentation based on the local intrinsic dimension
    Scientific Reports, 2020 - Article - Preprint
  5. Denti, F., Guindani, M., Leisen, F., Lioji, A., and Vannucci, M.
    Two-group Poisson-Dirichlet mixtures for multiple testing
    Biometrics, 2020 - Article - Preprint

Collaborative Papers

  1. 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 - Article
  2. 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 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

Tiefe Brunnen muss man graben
wenn man klares Wasser will
Rosenrot oh Rosenrot
Tiefe Wasser sind nicht still

Rosenrot - Rammstein

  1. Denti, F., Azevedo, R., Lo, C., Wheeler, D., Gandhi, S.P.,Guindani, M., and Shahbaba, B.
    A Horseshoe Pit mixture model for Bayesian screening with an application to light sheet fluorescence microscopy in brain imaging
    Submitted - Preprint
  2. Denti, F., Peluso, S., Guindani, M., and Mira, A.
    Multiple hypothesis screening using mixtures of non-local distributions
  3. Denti, F., Doimo, D., Laio, A., and Mira, A.
    Distributional Results for Likelihood-Based Intrinsic Dimension Estimators
    Under Revision - Preprint
  4. Denti, F.
    intRinsic: an R package for the package for model-based estimation of the intrinsic dimension of a dataset
    Under Revision - Preprint


Service to Profession and Affiliations

Reviewer for (alphabetical order)

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