publications

Journal Articles

(probability, statistics and statistical physics)

  1. Bassetti, F., Ladelli, L. (2021).  Mixture of species sampling models.  Mathematics,  9 (23), 3127. 
  2. Cosentino Lagomarsino, M. et al. (2022). Remote teaching data-driven physical modeling through a COVID-19 open-ended data challenge. European Journal of Physics 43(5), 055708.
  3. F. Bassetti, S. Gualandi, M. Veneroni (2020). On the Computation of KantorovichWasserstein Distances between 2D-Histograms by Uncapacitated Minimum Cost Flows. SIAM Journal on Optimization. 30, No. 3, pp. 2441-2469.
  4. F. Bassetti, R. Casarin, L. Rossini (2020). Hierarchical Species Sampling Models. Bayesian Analysis, Volume 15, Number 3, 809-838 (https://projecteuclid.org/euclid.ba/1569981632).
  5. Bassetti, F., Ladelli, L., (2020). Asymptotic number of clusters for species sampling sequences with non-diffuse base measure, Statistics & Probability Letters. Elsevier, vol. 162 (C).
  6. Auricchio, G., Bassetti, F., Gualandi, S., Veneroni, M. (2019). Computing Wasserstein Barycenters via Linear Programming. Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 11494 LNCS, 355- 363.
  7. Auricchio, G, Gualandi, S, Veneroni, M, Bassetti, F. (2018). Computing Kantorovich- Wasserstein Distances on d-dimensional histograms using (d + 1)-partite graphs Ad- vances in Neural Information Processing Systems Volume 2018 December, 5793-5803.
  8. F. Bassetti, E. Degiuli, E. Nicolino, C. Tarantola (2018). Multivariate Dependence Analysis via Tree Copula Models: An application to one-year forward energy contracts. European Journal of Operational Research 269, 1107-1121.
  9. F. Bassetti, R. Casarin, F. Ravazzolo (2018). Bayesian Nonparametric Calibration and Combination of Predictive Distributions. Journal of the American Statistical Association dx.doi.org/10.1080/01621459.2016.1273117 ( here )
  10. F. Bassetti, E. Epifani, L. Ladelli (2017). Cox Markov models for estimating single cell growth. Electron. J. Statist. 11, 2931-2977. ( here )
  11. Gherardi, M., Bassetti, F., Cosentino Lagomarsino, M. (2016). Law of corresponding states for open collaborations. Physical Review E 93 (4), 042307. ( here )
  12. F.Bassetti, L.Ladeli, D.Matthes (2015). Infinite energy solutions to inelastic homogeneous Boltzmann equations. Electron. J. Probab. Vol 20, (89) 1-34. ( here )
  13. F. Bassetti, G. Toscani (2015). Mean field dynamics of collisional processes with duplication, loss and copy. Math. Mod. Meth. Appl. Scie. 25 (10) 1887-1925.
  14. Airoldi E.,Costa T., Leisen F., Bassetti F. and Guindani M. (2014). Generalized Species Sampling Priors with Latent Beta reinforcements. Journal of the American Statistical Association. 109, 508, 1466-1480. ( here )
  15. F.Bassetti, R.Casarin, F. Leisen (2014). Beta-Product Dependent Pitman-Yor Processes for Bayesian Inference. Journal of Econometrics, Volume 180, Issue 1, 49-72 (available here )
  16. F. Bassetti, G. Toscani (2014). Explicit equilibria in bilinear kinetic models, Esaim: Proceedings and Surveys, 47 1-16
  17. F.Bassetti, D.Matthes (2014). Multi-dimensional smoothing transformations: Existence, regularity and stability of fixed points. Stochastic Processes and their Applications, 124, Issue 1, January 2014, 154?198 (available here )
  18. F.Bassetti, L.Ladelli (2013). Large Deviations for the solution of a Kac-type kinetic equation. Kinetic and Related Models. 6, Number 2, 245 – 268 (available here and here (technical report version) )
  19. F.Bassetti, E.Perversi (2013). Speed of convergence to equilibrium in Wasserstein metrics for Kac-like kinetic equations. Electron. J. Probab. 18, no. 6, 1?35. DOI: 10.1214/EJP.v18-2054 ( here )
  20. F.Bassetti, L.Ladelli (2012). Self similar solutions in one-dimensional kinetic models: a probabilistic view. (available here or here ) Ann. App. Prob. Vol. 22, No. 5, 1928?1961
  21. F. Bassetti, L. Ladelli, G. Toscani (2011). Kinetic models with randomly perturbed binary collisions. Journal of Statistical Physics. Volume 142, Number 4, 686-709, DOI: 10.1007/s10955-011-0136-8 here (technical report version here )
  22. F. Bassetti, E. Gabetta (2011). Survey on probabilistic methods for the study of Kac-like equations. Bollettino U.M.I. (9) IV, 187-212
  23. F.Bassetti, L.Ladelli, D.Matthes (2011). Central limit theorem for a class of one-dimensional kinetic equations . Probability Theorey and related fields. 150, Numbers 1-2, 77-109 DOI:10.1007/s00440-010-0269-8 ( pdf ) (first version available here )
  24. F.Bassetti, G.Toscani (2010). Explicit equilibria in a kinetic model of gambling ( here ) Phys. Rev. E 81, 066115
  25. F.Bassetti (2010). Quantitative comparisons between finitary posterior distributions and Bayesian posterior distributions. Journal of Statistical Planning and Inference. 141 787-799 (available here )
  26. F.Bassetti, I.Crimalidi, F.Leisen (2010). Conditionally identically distributed species sampling sequences. Adv. in Appl. Probab. 42, 433-459. ( here ) (first version available here )
  27. F.Bassetti, F.Leisen (2010). Maximal flow in branching trees and binary search trees. Methodology and Computing in Applied Probability. 13, 475–486, DOI: 10.1007/s11009-010-9164-0 ( here ) ( pdf )
  28. F.Bassetti (2009) On the distribution of certain functionals of two distinguished random probabilities. Rendiconti dell’Istituto Lombardo, 142.
  29. F.Bassetti, L.Ladelli, E.Regazzini (2008). Probabilistic study of the speed of approach to equilibrium for an inelastic Kac model. Journal of Statistical Physics. 133 683-710 (see here) (preprint version available on here )
  30. F.Bassetti, E.Regazzini (2008). The unsung de Finetti’s first paper about exchangeability. Rendiconti di Matematica, Istituto Nazionale di Alta Matematica F.Severi. 28 1–17
  31. F.Bassetti, Cosentino Lagomarsino, M., Mandra’, S. (2007) Exchangeable Random Networks. Internet Mathematics. 4, 357–400 here (preprint version available here )
  32. F. Bassetti, P.G. Bissiri (2008). Random partition model and finitary Bayesian statistical inference. Sankhya, 70, 1-21. (pdf)
  33. F. Bassetti, P.G. Bissiri (2007). Finitary Bayesian statistical inference through partitions tree distributions, Sankhya, 69, 808-841. (pdf)
  34. Bassetti, F., Gabetta, E., Regazzini, E. (2007). On the depth of the trees in the McKean representation of Wild’s sums. “Transport Theory and Statistical Physics” Volume 36, Issue 4, 421 – 438. (pdf)
  35. F. Bassetti, M. Cosentino Lagomarsino, B. Bassetti, P. Jona (2007) Random Networks Tossing Biased Coins. Phys. Rev. E 75. here (Arxiv version here )
  36. Bassetti, F., Bodini, A., Regazzini, E. (2007). Consistency of minimum divergence estimators based on grouped data. “Statistics & Probability Letters”, Volume 77, Issue 10, 937-941 (pdf) (Preprint extended version available here )
  37. Bassetti, F., Bodini, A., Regazzini, E. (2006). On minimum Kantorivich distance estimators. “Statistics & Probability Letters”, 76, 12, 1298-1302. (pdf) (Preprint extended verision available here )
  38. Bassetti, F. Diaconis, P. (2006). Examples comparing Importance Sampling and the Metropolis algorithm. Illinois Journal of Mathematics. 50. 1-4. 67–91. (pdf)
  39. Bassetti, F., Regazzini, E. (2005). Asymptotic properties and robustness of minimum dissimilarity of location-scale parameters. “Teor. Veroyatn. Primen.” 50 (2005), no. 2, 312–330; translation in “Theory Probab. Appl.” 50 (2006), no. 2, 171–186.
  40. Bassetti, F., Regazzini, E. (2005). Asymptotic distribution and robustness of minimum total variation distance estimators. Metron, vol LXIII, n.1 pp. 55-80.
  41. F.Bassetti (2003). Variable Time-Step Discretization of Degenerate Evolution Equations in Banach Spaces. Numerical Functional Analysis and Optimization, Vol. 24, Nos.3-4, pp.391-426.

(biology, bio-physics, quantitative biology)

  1. Merli, D., Mannucci, B., Bassetti, F., Corana, F., Falchetto, M., Malacrida, A.R., Gasperi, G., Scolari, F. (2018) Larval Diet Affects Male Pheromone Blend in a Laboratory Strain of the Medfly, Ceratitis capitata. Journal of Chemical Ecology, 44 (4), pp. 339-353.
  2. Zhang, Q., Bassetti, F., Gherardi, M., Lagomarsino, M.C. (2017). Cell-to-cell variability and robustness in S-phase duration from genome replication kinetics. Nucleic Acids Research, 45 (14), pp. 8190-8198.
  3. Scolari, F., Yuval, B., Gomulski, L.M., Schetelig, M.F., Gabrieli, P., Bassetti, F., Wimmer, E.A., Malacrida, A.R., Gasperi, G. (2014) Polyandry in the medfly-shifts in paternity mediated by sperm stratification and mixing. BMC Genetics, 15, art. no. S10.
  4. J.Grilli, M.Romano, F.Bassetti and M.Cosentino Lagomarsino (2014). Cross-species gene-family fluctuations reveal the dynamics of horizontal transfers. Nucleic Acids Research, 42 (11) 6850-60.
  5. Bonomi A, Bassetti F, Gabrieli P, Beadell J, Falchetto M, Scolari F, Gomulski LM, Regazzini E, Ouma JO, Caccone A, Okedi LM, Attardo GM, Guglielmino CR, Aksoy S, Malacrida AR (2011). Polyandry is a common event in wild populations of the tsetse fly Glossina fuscipes fuscipes and may impact population reduction measures. PLoS Neglected Tropical Diseases 5: e1190.

Book Chapters

  1. Bassetti, F., Casarin, R., Del Negro, M., (2022). Inference on probabilistic surveys in macroeconomics with an application to the evolution of uncertainty in the survey of professional forecasters during the COVID pandemic. Handbook of Economic Expectations, pp. 443–476.
  2. Bassetti, F., Casarin, R., Ravazzolo, F. (2020). Density Forecasting. (Fuleky P., Ed.) Advanced Studies in Theoretical and Applied Econometrics, Springer. 465-494.
  3. Auricchio, G., Bassetti, F., Gualandi, S., Veneroni, M. (2019). Computing Wasserstein Barycenters via Linear Programming. Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 11494 LNCS, 355- 363.
  4. Bassetti, F., Leisen, F., Airoldi, E., Guindani, M. (2015). Species sampling priors for modeling dependence: An application to the detection of chromosomal aberrations. Nonparametric Bayesian Inference in Biostatistics pp. 97-114. Mitra, R., Müller, P. (Eds.), Springer.