In journals
Sottosanti, A., Risso, D., and Denti, F. (2025).
Spatially Regularized Gaussian Mixtures for Clustering Spatial
Transcriptomic Data. Journal of Classification.
(article
- preprint - repository)
Bovo, E., Belloni, P., Sottosanti, A., and
Boccuzzo, G. (2025). A model-based scan statistic with enhanced
specificity for detecting spatial clusters of high mortality risk.
Environmental and Ecological Statistics.
(article)
Sottosanti, A., Bovo, E., Belloni, P., and
Boccuzzo, G. (2025). Bayesian mapping of mortality clusters.
Biostatistics 26(1):kxaf028.
(article
- preprint - repository)
Sottosanti, A., Denti, F., Galimberti, S.,
Risso, D., and Capitoli, G. (2025). Spatially informed nonnegative
matrix trifactorization for coclustering mass spectrometry data.
Biometrical Journal 67(2):e70031.
(article - repository)
Montin, A., Brazzale, A. R., Menardi, G., and Sottosanti, A. (2024). Locating \(\gamma\)-ray sources on the celestial sphere via modal clustering. Statistical Methods & Applications 33:153–172. (article)
Ianniello, A., Sottosanti, A., Borriello, G.,
and Vincenti, M. (2023). Perception of Quality of Life and Fatigue in
Multiple Sclerosis Patients Treated with High-Dose Vitamin D.
Clinical and Translational Neuroscience 7(2):12-27.
(article)
Sottosanti, A., and Risso, D. (2023).
Co-clustering of Spatially Resolved Transcriptomic Data. The Annals
of Applied Statistics 17(2):1444-1468.
(article
- repository)
Costantin, D., Sottosanti, A., Brazzale, A. R.,
Bastieri, D., Fan, J. (2022). Bayesian Mixture Modeling of the
High-Energy Photon Counts collected by the Fermi Large Area Telescope.
Statistical Modelling 22(3):175-198.
(article)
Hayden, E., Airoldi, C., Scotti, L., Bellan, M.,
Sottosanti, A., Bergamasco, P., Salamina, L., Capponi,
A., Sainaghi, P.P., and Pirisi, M. (2021). Modelling hospital bed
necessity for COVID-19 patients during the decline phase of the epidemic
trajectory. Minerva Respiratory Medicine 60(2):29-35.
(article)
Discussions in journals
Righelli, D., Sottosanti, A., and Risso, D.
(2023). Designing spatial transcriptomic experiments. Nature
Methods 20(3):355-356.
(article)
Sottosanti, A., Risso, D., and Castiglione, C.
(2022). Contributed discussion: “Bayesian Nonstationary and
Nonparametric Covariance Estimation for Large Spatial Data” by B. Kidd
and M. Katzfuss. Bayesian Analysis 17(1):337-339.
(article)
In volumes
Sottosanti, A., Costantin, D., Bastieri, D., and
Brazzale, A. R. (2019). Discovering and Locating High-Energy
Extra-Galactic Sources by Bayesian Mixture Modelling. New
Statistical Developments in Data Science (A. Petrucci, F. Racioppi
and R. Verde Eds.), Springer Proceedings in Mathematics &
Statistics, 288, 135-148.
(article)
Caponera, A., Denti, F., Rigon, T., Sottosanti,
A., and Gelfand, A. (2018). Hierarchical Spatio- Temporal
Modeling of Resting State fMRI Data. Studies in Neural Data
Science (A. Canale, D. Durante, L. Paci and B. Scarpa Eds.),
Springer Proceedings in Mathematics & Statistics, 257,
111-130.
(article)
Under review