"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

Scientific publications

Articles in refereed journals

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

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
    Annals of Applied Statistics, 2021

  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

  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

  4. Allegra, M., Facco, E. , Denti, F., Laio, A., and Mira, A.
    Data segmentation based on the local intrinsic dimension
    Scientific Reports, 2020

  5. Denti, F., Guindani, M., Leisen, F., Lioji, A., and Vannucci, M.
    Two-group Poisson-Dirichlet mixtures for multiple testing
    Biometrics, 2020

Collaborative Papers

  1. Migliavada, R., Ricci, F. Z., Denti, F., Haghverdian, D., and Torri, L.
    Is purchasing of vegetable dishes affected by organic or local labels? Empirical evidence from a university canteen
    Appetite, 2022

  2. 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

Book chapters and proceedings

"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

  1. Denti, F., Cappozzo, A., and Greselin, F.
    Outlier and novelty detection for Functional data: a semiparametric Bayesian approach in Book of Short Papers of the 5th international workshop on Models and Learning for Clustering and Classification, (Ingrassia A., Punzo A., Rocci R., editors) (pp. 33-38). Ledizioni.
  2. 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.
  3. 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

"Whoa, you know
to keep your hopes up high
And your head down low
All I Want - A Day to Remember

  1. Denti, F., Azevedo, R., Lo, C., Wheeler, D. G., Gandhi, S.P.,Guindani, M., and Shahbaba, B.
    A Horseshoe mixture model for Bayesian screening with an application to light sheet fluorescence microscopy in brain imaging - Submitted

  2. Denti, F., Doimo, D., Laio, A., and Mira, A.
    Gride: a novel likelihood-based intrinsic dimension estimator - Submitted

  3. Denti, F.
    intRinsic: an R package for the package for model-based estimation of the intrinsic dimension of a dataset - Submitted

  4. Denti, F., Peluso, S., Guindani, M., and Mira, A.
    Multiple hypothesis screening using mixtures of non-local distributions - Submitted

  5. Varghese, A., Santos-Fernandez E., Denti, F., Mira, A., and Mergensen, K.
    On the intrinsic dimensionality of Covid-19 data: a global perspective - Under revision


Service to Profession and Affiliations

Reviewer for (alphabetical order)

Advances in Statistical Analysis (AStA) — Bayesian Analysis (BA) — Biometrics — Computational Statistics & Data Analysis (CSDA) — International Statistical Review — Journal of the American Statistical Association (JASA - A&CS) — Journal of Computational and Graphical Statistics (JCGS) — Journal of Statistical Software (JSS) — Journal of the Royal Statistical Society - Series B (JRSS-B) — Statistics and Computing — Statistical Methods and Applications (SMA) — Statistical Science — Technometrics — 2021 SBSS Student Paper Competition