Submitted work

Publications in referred journals

  1. D’Angelo, L., Nipoti, B. & Ongaro, A. (2026)
    Dependent Dirichlet processes via thinning
    Journal of Computational and Graphical Statistics, to appear (arXiv)

  2. Bi, J., Borrotti, M. & Nipoti, B. (2026)
    Uncertainty quantification and multi-stage variable selection for personalized treatment regimes
    Biometrics, 82(2), ujag081 (arXiv)

  3. Barile, F., Lunagomez, S. & Nipoti, B. (2026)
    Bayesian nonparametric modeling of heterogeneous populations of networks
    Bayesian Analysis, to appear (arXiv)

  4. Bissiri, P.G., Nipoti, B., Porcu, E. & White, P. (2026)
    A non-parametric framework for correlation functions on product metric spaces
    International Statistical Review, early view (doi)

  5. Perlino, F.L., Nipoti, B., Paige, W. & Bellavia, A. (2025)
    A Bayesian parametric and nonparametric approach for the imputation of multivariate left-censored data due to limit of detection
    Statistics in Medicine, 44(28-30), e70326

  6. Giampino. A., Nipoti, B., Vannucci, M. & Guindani, M. (2025)
    Local Level Dynamic Random Partition Models for Changepoint Detection
    Bayesian Analysis, advance publication (doi) (arXiv)

  7. Giampino. A., Canale, A. & Nipoti, B. (2025)
    A Bayesian Model for Co-clustering Ordinal Data with Informative Missing Entries
    Statistics and Computing, 35(5), 164

  8. Nipoti, B. & Schiavon, L. (2025)
    Expected goals under a Bayesian viewpoint: uncertainty quantification and online learning
    Journal of Quantitative Analysis in Sport, vol. 21, no. 1, pp. 37-50

  9. Hernández, B., Dyer, A.H., Finucane, C., Nipoti, B., Romero-Ortuno, R., Reilly, R. & Kenny, R.A. (2024)
    The impact of type 2 diabetes on peripheral and cerebral haemodynamic responses to active stand
    Journal of Gerontology: Medical Sciences, 79(5), p.glae073

  10. Schiavon, L., Canale, A. & Nipoti, B. (2024)
    Accelerated structured matrix factorization
    Journal of Computational and Graphical Statistics, pp.1-11 (arXiv)

  11. Canale, A., Lijoi A., Nipoti, B. & Pruenster, I. (2023)
    Inner spike and slab Bayesian nonparametric models
    Econometrics and Statistics (Part B: Statistics), 27, 120-135 (arXiv)

  12. Bissiri, P.G., Cleanthous, G., Emery, X.M., Nipoti, B. & Porcu, E. (2022)
    Nonparametric Bayesian modelling of longitudinally integrated covariance functions on spheres
    Computational Statistics & Data Analysis, 176, 107555

  13. Canale, A., Corradin, R. & Nipoti, B. (2022)
    Importance conditional sampler for Pitman-Yor mixtures
    Statistics and Computing, 32(40), 1-18 (arXiv)

  14. Corradin, R., Nieto-Barajas, L.E. & Nipoti, B. (2022)
    Optimal stratification of survival data via Bayesian nonparametric mixtures
    Econometrics and Statistics (Part B: Statistics), 22, 17-39 (arXiv)

  15. Corradin, R., Canale, A. & Nipoti, B. (2021)
    BNPmix: an R package for Bayesian nonparametric modelling via Pitman-Yor mixtures
    Journal of Statistical Software, 100(15), 1-33 (R package)

  16. Arbel, J., Corradin, R. & Nipoti, B. (2021)
    Dirichlet process mixtures under affine transformations of the data
    Computational Statistics, 36(1), 577-601 (arXiv)

  17. Arbel, J., Marchal, O. & Nipoti, B. (2020)
    On the Hurwitz zeta function with an application to the beta-exponential distribution
    Journal of Inequalities and Applications, 89 (arXiv)

  18. Nipoti, B., Jara, A. & Guindani, M. (2018)
    A Bayesian semiparametric partially PH model for clustered time-to-event data
    Scandinavian Journal of Statistics, 45, 1016-1035 (pdf, SM)

  19. Nipoti, B & Shen, W. (2018)
    Contributed comment on Wade and Ghahramani’s article
    Bayesian Analysis, 13(2), 613-615

  20. Canale, A., Lijoi, A., Nipoti, B. & Pruenster, I. (2017)
    On the Pitman-Yor process with spike and slab base measure
    Biometrika, 104(3), 681-697. (pdf)

  21. Arbel, J., Favaro, S., Nipoti, B. & Teh, Y.W. (2017)
    Bayesian nonparametric inference for discovery probabilities: credible intervals and large sample asymptotics
    Statistica Sinica, 27(2), 839-858 (arXiv)

  22. Favaro, S., Lijoi, A., Nava, C., Nipoti, B., Pruenster, I. & Teh, Y.W. (2016)
    On the stick-breaking representation for homogeneous NRMIs
    Bayesian Analysis, 11(3), 697-724.

  23. Favaro, S., Nipoti, B. & Teh, Y.W. (2016)
    Rediscovery of Good-Turing estimators via Bayesian nonparametrics
    Biometrics, 72, 136-145. (arXiv)

  24. Arbel, J., Lijoi, A. & Nipoti, B. (2016)
    Full Bayesian inference with hazard mixture models
    Computational Statistics & Data Analysis, 93, 359-372. (arXiv)

  25. Favaro, S. Nipoti, B. & Teh, Y.W. (2015)
    Random variate generation for Laguerre-type exponentially tilted α-stable distributions
    Electronic Journal of Statistics, 9, 1230-1242

  26. Favaro, S., Lomeli, M., Nipoti, B. & Teh, Y.W. (2014)
    On the stick-breaking representation of σ-stable Poisson-Kingman models
    Electronic Journal of Statistics, 8, 1063-1085

  27. Favaro, S. & Nipoti, B. (2014)
    Discussion of “On simulation and properties of the stable law” by L. Devroy and L. James”
    Statistical Methods & Applications, 23(3), 365-369

  28. Cesari, O., Favaro, S. & Nipoti, B. (2014)
    Posterior analysis of rare variants in Gibbs-type species sampling models
    Journal of Multivariate Analysis, 231, 79-98

  29. Lijoi, A. & Nipoti, B. (2014)
    A class of hazard rate mixtures for combining survival data from different experiments
    Journal of the American Statistical Association, 109, 802-814

  30. Lijoi, A., Nipoti, B. & Pruenster, I. (2014)
    Bayesian inference with dependent normalized completely random measures
    Bernoulli, 20(3), 1260-1291 (arXiv)

  31. Lijoi, A., Nipoti, B. & Pruenster, I. (2014)
    Dependent mixture models: clustering and borrowing information
    Computational Statistics & Data Analysis, 71, 417-433

  32. Arbel, J. & Nipoti, B. (2013)
    Discussion on Müller and Mitra’s “Bayesian Nonparametric Inference - Why and How”
    Bayesian Analysis, 8, 326-328.

  33. Ricca, R.L. & Nipoti, B. (2011)
    Gauss’ linking number revisited
    Journal of Knot Theory and Its Ramifications, 20, 1325-1343

Books and chapters in books

  1. Arbel, J., Lijoi, A. & Nipoti, B. (2015)
    Bayesian Survival Model based on Moment Characterization
    In Proceedings of Baysm 2014. Springer proceedings in Mathematics & Statistics, 126, 3-14. (arXiv)

  2. Nipoti, B. (2012)
    Dependent Completely Random Measures and Statistical Applications
    Best Ph.D. thesis in statistics and applications. CLEUP (page)

  3. Ricca, R.L. & Nipoti, B. (2011)
    Derivation and Interpretation of the Gauss Linking Number
    In Introductory Lectures on Knot Theory (KauffmanL.H., Lambropoulou S., Jablan S., Przytycki J.H., eds), 428-501, Series on Knots and Everything, World Scientific Press

Other publications

  1. D’Angelo, L., Nipoti, B. & Rigon, T. (2026)
    A scale-only nonparametric mixture model for clustering covariance matrices: an application to olive oil chemical profiles
    In Scientific Meeting of the Italian Statistical Society, Springer, 100-104.

  2. D’Angelo L., Nipoti B. & Ongaro A. (2025)
    Modeling related survival samples via dependent nonparametric mixtures
    In Statistics for Innovation III, Conference proceedings of SIS 2025, Springer, 73-78.

  3. Barile, F., Lunagomez, S. & Nipoti, B. (2024)
    Clustering multiple networks data with an application to the EU food trade market
    Proceedings of 2024 Conference of the Italian Statistical Society

  4. D’Angelo, L., Ongaro, A., & Nipoti, B. (2024)
    Two-level clustering of patients and hospitals via thinned dependent Dirichlet process mixtures
    Proceedings of 2024 Conference of the Italian Statistical Society

  5. Corradin, R., Nieto-Barajas, L. & Nipoti, B. (2020)
    Pitman-Yor mixtures for survival data stratification
    Proceedings of 2020 Conference of the Italian Statistical Society

  6. Canale, A., Corradin, R. & Nipoti, B. (2019)
    Galaxy color distribution estimation via dependent nonparametric mixtures
    Proceedings of 2019 Conference of the Italian Statistical Society (pdf)

  7. Arbel, J., Favaro, S., Nipoti, B. & Teh, Y.W. (2016)
    On Bayesian nonparametric inference for discovery probabilities
    Proceedings of the 49th Scientific Meeting of the Italian Statistical Society

  8. Arbel, J., Favaro, S., Nipoti, B. & Teh, Y.W. (2016)
    Discovery Probabilities when Uncertainty Matters
    48e Journées de la Statistique de la SFdS

  9. Lijoi, A., Nipoti, B. & Pruenster, I. (2015)
    A Bayesian nonparametric model for clustering and borrowing information
    Proceedings of 10th scientific Meeting of the Classification and Data Analysis Group

  10. Favaro, S., Nipoti, B. & Teh, Y.W. (2015)
    On a class of smoothed Good-Turing estimators
    Proceedings of the SIS2015 Statistical Conference

  11. Favaro, S. & Nipoti, B. (2014)
    Uncertainty quantification for Bayesian nonparametric estimators of rare species variety
    Proceedings of the 47th Scientific Meeting of the Italian Statistical Society

  12. Lijoi, A., Nipoti, B. & Pruenster, I. (2014)
    A Bayesian nonparametric model for combining data from different experiments
    Proceedings of the 47th Scientific Meeting of the Italian Statistical Society

  13. Favaro, S., Lomeli, M., Nipoti, B. & Teh, Y.W. (2013)
    Stick-breaking representations of 1/2-stable Poisson-Kingman models
    Proceedings S.Co 2013

  14. Lijoi, A. & Nipoti, B. (2012)
    Two classes of bivariate distributions on the unit square
    Carlo Alberto Notebooks (pdf)