The order of the authors is alphabetical in all publications but 5,8,9,23,26


Publications in referred journals

  1. 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, to appear

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

  3. Canale, A., Lijoi A., Nipoti, B. & Pruenster, I. (2022)
    Inner spike and slab Bayesian nonparametric models
    Econometrics and Statistics (Part B: Statistics), to appear (ArXiv)

  4. 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)

  5. 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)

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

  7. 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. (pdf, ArXiv)

  8. 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 1,pdf 2)

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

  10. 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)

  11. 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)

  12. 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.

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

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

  15. 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.

  16. 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.

  17. 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.

  18. 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.

  19. 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.

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

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

  22. Arbel, J. & Nipoti, B. (2013)
    Discussion on Müller and Mitra's "Bayesian Nonparametric Inference - Why and How"
    Bayesian Analysis, 8, 326-328.

  23. 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.

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

  2. 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)

  3. 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.

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

  5. 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.

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

  7. 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.

  8. 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.

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

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


Software

  • BNPmix (R package, CRAN link). Corradin, R. [aut,cre], Canale, A. [ctb] & Nipoti, B. [ctb] (2019)


In preparation or submitted

  • Modelling the distribution of bugs across software releases via dependent neutral-to-the-right priors (with F. Donaghy, A. Lijoi and S. Wilson, in preparation)

  • On the support of nonparametric mixture models for survival data (with A. Jara, in preparation)

  • Full Bayesian inference with dependent normalized completely random measures (with F. Camerlenghi, A. Lijoi and I. Pruenster, in preparation)

  • Bayesian functional mixture modelling to uncover distinct neurocardiovascular profiles in older Irish adults (with B. Hernandez, R.A. Kenny, R.B. Reilly, in preparation)