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Francesco Denti
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Year
Data segmentation based on the local intrinsic dimension
M Allegra, E Facco, F Denti, A Laio, A Mira
Scientific reports 10 (1), 16449, 2020
33*2020
A common atoms model for the Bayesian nonparametric analysis of nested data
F Denti, F Camerlenghi, M Guindani, A Mira
Journal of the American Statistical Association 118 (541), 405-416, 2023
272023
Computed tomographic trochlear depth measurement in normal dogs
M Petazzoni, E De Giacinto, D Troiano, F Denti, M Buiatti
Veterinary and Comparative Orthopaedics and Traumatology 31 (06), 431-437, 2018
162018
The generalized ratios intrinsic dimension estimator
F Denti, D Doimo, A Laio, A Mira
Scientific Reports 12 (1), 20005, 2022
13*2022
The role of intrinsic dimension in high-resolution player tracking data—Insights in basketball
E Santos-Fernandez, F Denti, K Mengersen, A Mira
The Annals of Applied Statistics 16 (1), 326-348, 2022
72022
Two-group Poisson-Dirichlet mixtures for multiple testing
F Denti, M Guindani, F Leisen, A Lijoi, WD Wadsworth, M Vannucci
Biometrics 77 (2), 622-633, 2021
52021
Hierarchical Spatio-Temporal Modeling of Resting State fMRI Data
A Caponera, F Denti, T Rigon, A Sottosanti, A Gelfand
Studies in Neural Data Science: StartUp Research 2017, Siena, Italy, June 25 …, 2018
32018
A global perspective on the intrinsic dimensionality of COVID-19 data
A Varghese, E Santos-Fernandez, F Denti, A Mira, K Mengersen
Scientific Reports 13 (1), 9761, 2023
2*2023
A two-stage Bayesian semiparametric model for novelty detection with robust prior information
F Denti, A Cappozzo, F Greselin
Statistics and Computing 31 (4), 42, 2021
22021
intRinsic: an R package for model-based estimation of the intrinsic dimension of a dataset
F Denti
arXiv preprint arXiv:2102.11425, 2021
22021
A horseshoe mixture model for Bayesian screening with an application to light sheet fluorescence microscopy in brain imaging
F Denti, R Azevedo, C Lo, DG Wheeler, SP Gandhi, M Guindani, ...
The Annals of Applied Statistics 17 (3), 2639-2658, 2023
12023
Is purchasing of vegetable dishes affected by organic or local labels? Empirical evidence from a university canteen
R Migliavada, FZ Ricci, F Denti, D Haghverdian, L Torri
Appetite 173, 105995, 2022
12022
Bayesian mixtures for large scale inference
F Denti
12020
Variational inference for semiparametric Bayesian novelty detection in large datasets
L Benedetti, E Boniardi, L Chiani, J Ghirri, M Mastropietro, A Cappozzo, ...
Advances in Data Analysis and Classification, 1-23, 2023
2023
Multiple hypothesis screening using mixtures of non‐local distributions with applications to genomic studies
F Denti, S Peluso, M Guindani, A Mira
Statistics in Medicine 42 (12), 1931-1945, 2023
2023
A tool for assessing weak identifiability of statistical models
A Di Noia, F Denti, A Mira
Book of the Short Papers SEAS IN 2023, 1230-1234, 2023
2023
Bayesian nonparametric estimation of heterogeneous intrinsic dimension via product partition models
F Denti, A Di Noia, A Mira
Book of the Short Papers SEAS IN 2023, 316-321, 2023
2023
Bayesian analysis of Amazon’s best-selling books via finite nested mixture models
L D’Angelo, F Denti
Book of the Short Papers SEAS IN 2023, 1117-1120, 2023
2023
Detecting latent spatial patterns in mass spectrometry brain imaging data via Bayesian mixtures
G Capitoli, S Colombara, A Cotroneo, F De Caro, R Morandi, C Schembri, ...
Book of the Short Papers SEAS IN 2023, 1127-1132, 2023
2023
Correction to: A two-stage Bayesian semiparametricmodel for novelty detection with robust prior information (Statistics and Computing,(2021), 31, 4,(42), 10.1007/s11222-021 …
F Denti, A Cappozzo, F Greselin
Springer, 2022
2022
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Articles 1–20