Papers

[73] Ascolani, F., Lijoi, A., Pruenster, I. and Ruggiero, M. (2021).A framework for filtering in hidden Markov models with normalized random measures. Proceedings of the 50th Meeting of the Italian Statistical Society, 733-738.

[74] Camerlenghi, F., Lijoi, A.,Prünster, I. (2020). Bayesian nonparametric prediction with multi-sample data. Springer Proceedings in Mathematics & Statistics, Vol. 339, 113-121.

[75] Catalano, M., Lijoi, A., Prünster, I. (2019). Bayesian model comparison based on Wasserstein distances. Book of short papers SIS 2019, 167-172.

[76] Camerlenghi, F., Lijoi, A., Prünster, I. (2018). Density estimation via hierarchies of nonparametric priors. JSM Proceedings, Section on Bayesian Statistical Science, ASA, 2596-2605.

[77] Lijoi, A., Mena, R.H., Prünster, I. (2017). Discussion of "Sparse graphs using exchangeable random measures" byF. Caron and E. Fox. Journal ofthe Royal Statistical Society-Series B, 79, 1353.

[78] Camerlenghi, F., Lijoi, A., Prünster, I. (2017). On some distributional properties of hierarchical processes. JSM Proceedings, Section on Bayesian Statistical Science, ASA, 853-860.

[79] Kon Kam King, G., Arbel, J., Prünster, I. (2017). A Bayesian Nonparametric Approach to Ecological Risk Assessment. Springer Proceedings in Mathematics & Statistics, Vol. 194, 11-19.

[80] Arbel, J., Prünster, I. (2017). On the Truncation Error of a Superposed Gamma Process. Springer Proceedings in Mathematics & Statistics, Vol. 194, 151-159.

[81] Camerlenghi, F., Prünster, I., Ruggiero, M. (2016). On time Gibbs-type random probability measures. JSM Proceedings, Section on Nonparamteric Statistics, ASA, 1969-1976.

[82] Canale, A., Lijoi, A., Prünster, I. (2016). Bayesian Nonparametrics. Wiley StatsRef: Statistics Reference Online, 11pp.

[83] Gaetan, C., Padoan, S.A., Prünster, I. (2016). Comment on article by Page and Quintana. Bayesian Analysis, 11, 307-314.

[84] Kon Kam King, G, Arbel, J., Prünster, I. (2016). Bayesian Nonparametric Density Estimation in Ecotoxicology. 48e Journées de la Statistique de la SdSF, 6pp.

[85] Arbel, J. Prünster, I. (2016). Truncation error of a superposed gamma process in a decreasing order representation. NIPS Advances in Approximate Bayesian Inference Workshop, 7pp.

[86] Arbel, J., Prünster, I. (2015). Discussion of "Sequential Quasi-Monte-Carlo Sampling" by M. Gerber and N. Chopin. Journal of the Royal Statistical Society-Series B, 77, 569-560.

[87] Lijoi, A., Prünster, I. (2014). Discussion of “On simulation and properties of the stable law” byL. Devroye and L. James. Statistical Methods & Applications - Journal of the Italian Statistical Society, 23, 371-377.

[88] Lijoi, A., Nipoti, B., Prünster, I. (2014). A Bayesian nonparametric model for combining data from different experiments. Proceedings of the XLVII Meeting of the Italian Statistical Society,Vol. I, 10pp.

[89] Nava, C., Mena, R.H., Prünster, I. (2014). On Some Stationary Models: Construction and Estimation. Springer Proceedings in Mathematics & Statistics, Vol. 63, 187-191.

[90] Lijoi, A., Prünster, I., Walker, S.G. (2014). A note on “Bayesian nonparametric estimators derived from conditional Gibbs structures”. The Annals of Applied Probability, 24, 447-448.

[91] Nava, C., Mena, R.H., Prünster, I. (2013). On Stationary Markov Models: a Poisson-driven approach. Proceedings of the 8th Conference on Statistical Computing and Complex Systems - SCo 2013, 6pp.

[92] Favaro, S., Lijoi, A., Prünster, I. (2013). Correction to "A new estimator of the discovery probability". Biometrics, 69, 797.

[93] De Blasi, P., Favaro, S., Lijoi, A., Mena, R.H. and Prünster, I. (2012). Two Tales About Bayesian Nonparametric Modeling. JSM 2012 Proceedings, Section on Bayesian Statistical Science, ASA, 1696-1706.

[94] De Blasi, P., Lijoi, A., Prünster, I. (2012). Large sample properties of Gibbs-type priors. Proceedings of the XLVI Meeting of the Italian Statistical Society, Vol II, 4pp.

[95] De Blasi, P. ; Lijoi, A., Prünster, I. (2011). On consistency of Gibbs-type priors. Proceedings of the 58th World Statistics Congress of ISI, 7pp.

[96] Favaro, S., Lijoi, A., Mena, R.H., Prünster, I. (2011). On some issues related to species sampling problems. Proceedings of the 7th Conference on Statistical Computing and Complex Systems - SCo 2011, 9pp.

[97] De Blasi, P., Peccati, G., Prünster, I. (2010). On the Asymptotic Behaviour of Random Cumulative Hazards. JSM 2010 Proceedings, Section on Nonparametric Statistics, ASA, 1063-1074.

[98] Lijoi, A., Muliere, P., Prünster, I., Taddei, F. (2010). Exchangeable random partitions for statistical and economic modelling. Atti del Convegno Economia e Incertezza. EUT, 88-111.

[99] Mena, R.H., Prünster I. (2007). Alcune considerazioni sulle elezioni presidenziali messicane del 2006 (Italian). SIS-Magazine (electronic).

[100] Lijoi, A., Mena, R.H., Prünster, I. (2006). Bayesian clustering in nonparametric hierarchical mixture models. Proceedings of the XLIII Meeting of the Italian Statistical Society, Vol. I, 449-460.

[101] Prünster, I. (2005). Some issues in Bayesian Nonparamterics. JSM 2004 Proceedings, Section on Bayesian Statistical Science, ASA, 196-203.

[102] James, L.F., Lijoi, A., Prünster, I. (2004). On a class of priors for Bayesian Nonparametrics. Proceedings of the XLII Meeting of the Italian Statistical Society, 401-404.

[103] Prünster, I. (2004). Misure di probabilità aleatorie derivate da processi additivi crescenti e loro applicazione alla statistica bayesiana. Bollettino dell’Unione Matematica Italiana Sez. A, 7, 563-566.

[104] Lijoi, A., Prünster, I. (2003). On a normalized random measure with independent increments relevant to Bayesian nonparametric inference. Proceedings of the 13th European Young Statisticians Meeting, Bernoulli Society, 123-134.

[105] Epifani, I., Lijoi, A., Prünster, I. (2003). A note on the simulation of Lévy processes with a view towards applications. Proceedings of the 3rd Conference on Statistical Computing and Complex Systems - SCo 2003, 188-193.