Papers
Articles in refereed Journals
Catalano, M. Lavenant, H., Lijoi, A., Prünster, I., (2024). A Wasserstein index of dependence for random measures. Journal of the American Statistical Association,119, 2396-2406. (pdf)
Catalano, M., Del Sole, C., Lijoi, A., Prünster, I. (2024). A unified approach to hierarchical random measures. Sankhya, 86, S225-287. (pdf)
Ascolani, F., Franzolini, B., Lijoi, A., Prünster, I., (2024). Nonparametric priors with full-range borrowing of information. Biometrika, 111, 945-969. (pdf)
Lijoi, A., Prünster, I., Rigon, T. (2024). Finite-dimensional discrete random structures and Bayesian clustering. Journal of the American Statistical Association, 119, 929-941. (pdf)
Franzolini, B., Lijoi, A., Prünster, I. (2023). Model selection for maternal hypertensive disorders with symmetric hierarchical Dirichlet processes. The Annals of Applied Statistics, 17, 313-332. (pdf)
Ascolani, F., Lijoi, A., Rebaudo, G. and Zanella, G. (2023). Clustering consistency with Dirichlet process mixtures. Biometrika, 110, 551-558. (pdf)
Catalano, M., Lijoi, A., Prünster, I. and Rigon, T. (2023). Bayesian modeling via discrete nonparametric priors. Japanese Journal of Statistics and Data Science, 6, 607-624. (pdf)
Ascolani, F., Lijoi, A., Ruggiero, M. (2023). Smoothing distributions for conditional Fleming-Viot and Dawson-Watanabe diffusions. Bernoulli, 29, 1410-1434. (pdf)
Lijoi, A., Prünster, I., Rebaudo, G. (2023). Flexible clustering via hidden hierarchical Dirichlet priors. Scandinavian Journal of Statistics, 50, 213-234. (pdf)
Canale, A., Lijoi, A., Nipoti, B., Prünster, I. (2023). Inner spike and slab Bayesian nonparametric models. Econometrics and Statistics, 27, 120-135. (pdf)
Catalano, M., De Blasi, P., Lijoi, A., Prünster, I. (2022). Posterior asymptotics for boosted hierarchical Dirichlet process mixtures. Journal of Machine Learning Research, 23, 1-23. (pdf)
Catalano, M., Lijoi, A. and Prünster, I. (2021). Measuring dependence in the Wasserstein distance for Bayesian nonparametric models. The Annals of Statistics, 49, 2916-2947. (pdf)
Camerlenghi, F., Lijoi, A. and Prünster, I. (2021). Survival analysis via hierarchically dependent mixture hazards. The Annals of Statistics, 49, 863-884. (pdf)
Arbel, J., Kon Kam King, G., Lijoi, A., Nieto-Barajas, L.E., Prünster, I (2021). BNPdensity: Bayesian nonparametric mixture modelling in R. Australian & New Zealand Journal of Statistics, 63, 542-564. (pdf)
Ascolani, F., Lijoi, A. and Ruggiero, M. (2021). Predictive inference with Fleming-Viot driven dependent Dirichlet processes. Bayesian Analysis, 16, 371-395. (pdf)
Denti, F., Guindani, M., Leisen, F., Lijoi, A., Vannucci, M. and Wadsworth, D. (2020). Two-group Poisson-Dirichlet mixtures for multiple testing. Biometrics, 77, 622-633. (pdf)
Catalano, M., Lijoi, A. and Prünster, I. (2020). Approximation of Bayesian models for time-to-event data. Electronic Journal of Statistics, 14, 3366-3395. (pdf)
Lijoi, A., Prünster, I. and Rigon, T. (2020). Sampling hierarchies of discrete random measures. Statistics and Computing, 30, 1591-1607. (pdf)
Lijoi, A., Prünster, I. and Rigon, T. (2020). The Pitman-Yor multinomial process for mixture modeling. Biometrika, 107, 891-906. (pdf)
Graziadei, H., Lijoi, A., Lopes, H.F., Marques F., P.C. and Prünster, I. (2020). Prior sensitivity analysis in a semi-parametric integer-valued time series model. Entropy, 22, 69. (pdf)
Camerlenghi, F., Dunson, D.B.., Lijoi, A., Prünster, I. and Rodriguez, A. (2019). Latent nested nonparametric priors (with discussion). Bayesian Analysis, 14, 1303-1356. (pdf)
Camerlenghi, F., Lijoi, A., Orbanz, P. and Prünster, I. (2019). Distribution theory for hierarchical processes. The Annals of Statistics, 47, 67-92. (main manuscript, appendix)
Camerlenghi, F., Lijoi, A. and Prünster, I. (2018). Bayesian nonparametric inference beyond the Gibbs-type framework. Scandinavian Journal of Statistics, 45, 1062-1091. (pdf)
Kume, A., Leisen, F. and Lijoi, A. (2018). Limiting behaviour of the stationary search cost distribution driven by a generalized gamma process. Electronic Communications in Probability, 23, no. 11, 1-10. (pdf)
Canale, A., Lijoi, A., Nipoti, B. and Prünster, I. (2017). On the Pitman-Yor process with spike and slab base measure. Biometrika, 104, 681-697. (pdf)
Camerlenghi, F., Lijoi, A. and Prünster, I. (2017). Bayesian prediction with multiple-samples information. Journal of Multivariariate Analysis, 156, 18-28. (pdf)
Lijoi, A., Muliere, P., Prünster, I. and Taddei, F. (2016). Innovation, growth and aggregate volatility from a Bayesian nonparametric perspective. Electronic Journal of Statistics, 10, 2179-2203. (pdf)
Favaro, S., Lijoi, A., Nava, C., Nipoti, B., Prünster, I. and Teh, Y.W. (2016). On the stick-breaking representation for homogeneous NRMIs. Bayesian Analysis, 11, 697-724. (pdf)
Arbel, J., Lijoi, A. and Nipoti, B. (2016). Full Bayesian inference with hazard mixture models. Computational Statistics & Data Analysis, 93, 359-372. (pdf)
De Blasi, P., Favaro, S., Lijoi, A., Mena, R., Prünster, I. and Ruggiero, M. (2015). Are Gibbs-type priors the most natural generalization of the Dirichlet process? IEEE Transactions on Pattern Analysis and Machine Intelligence, 37, 212-229. (pdf)
Lijoi, A. and 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. (pdf)
Lijoi, A., Nipoti, B. and Prünster, I. (2014). Bayesian inference with dependent normalized completely random measures. Bernoulli, 20, 1260-1291. (pdf)
Lijoi, A., Nipoti, B. and Prünster, I. (2014). Dependent mixture models: clustering and borrowing information. Computational Statistics & Data Analysis, 71, 417-433. (pdf)
Barrios, E., Lijoi, A., Nieto-Barajas, L.E. and Prünster, I. (2013). Modeling with normalized random measure mixture models. Statistical Science, 28, 313-334. (pdf)
Favaro, S., Lijoi, A. and Prünster, I. (2013). Conditional formulae for Gibbs-type exchangeable random partitions. The Annals of Applied Probability, 23, 1721-1754. (pdf)
De Blasi, P., Lijoi, A. and Prünster, I. (2013). An asymptotic analysis of a class of discrete nonparametric priors. Statistica Sinica, 23, 1299-1322. (pdf)
Leisen, F., Lijoi, A. and Spanò, D. (2013). A vector of Dirichlet processes. Electronic Journal of Statistics, 7, 62-90. (pdf)
Favaro, S., Lijoi, A. and Prünster, I. (2012). A new estimator of the discovery probability. Biometrics, 68, 1188-1196. (pdf with a minor correction)
Favaro, S., Lijoi, A. and Prünster, I. (2012). On the stick-breaking representation of normalized inverse Gaussian priors. Biometrika, 99, 663-674. (pdf)
Favaro, S., Lijoi, A. and Prünster, I. (2012). Asymptotics for a Bayesian nonparametric estimator of species richness. Bernoulli, 18, 1267-1283. (pdf)
Leisen, F., Lijoi, A. and Paroissin, C. (2011). Limiting behaviour of the search cost distribution for the move-to-front rule in the stable case. Statistics & Probability Letters, 81, 1827-1832. (pdf)
Leisen, F. and Lijoi, A. (2011). Vectors of two-parameter Poisson-Dirichlet processes. Journal of Multivariate Analysis, 102, 482-496. (pdf)
Lijoi, A. and Prünster, I. (2011). A conversation with Eugenio Regazzini. Statistical Science, 26, 647-672. (pdf)
James, L.F., Lijoi, A., and Pruenster, I. (2010). On the posterior distribution of classes of random means. Bernoulli, 16, 155-180. (pdf)
Epifani, I. and Lijoi, A. (2010). Nonparametric priors for vectors of survival functions. Statistica Sinica, 20, 1455-1484. (pdf)
Favaro, S., Lijoi A., Mena, R.H., and Prünster, I. (2009). Bayesian nonparametric inference for species variety with a two parameter Poisson-Dirichlet process prior. Journal of the Royal Statistical Society Series B, 71, 993-1008. (pdf)
Lijoi, A. and Prünster, I. (2009). Distributional properties of means of random probability measures. Statistics Surveys, 3, 47-95. (pdf)
James, L.F., Lijoi, A., and Prünster, I. (2009). Posterior analysis for normalized random measures with independent increments. Scandinavian Journal of Statistics, 36, 76-97. (pdf)
Lijoi A., Mena, R.H., and Prünster, I. (2008). A Bayesian nonparametric approach for comparing clustering structures in EST libraries. Journal of Computational Biology, 15, 1315-1327. (pdf)
Lijoi, A., Prünster, I., and Walker, S.G. (2008). Posterior analysis for some classes of nonparametric models. Journal of Nonparametric Statistics, 20, 447-457. (pdf)
Lijoi, A., Prünster, I., and Walker, S.G. (2008). Bayesian nonparametric estimators derived from conditional Gibbs structures. The Annals of Applied Probability, 18, 1519-1547. (pdf)
Lijoi, A., Prünster, I., and Walker, S.G. (2008). Investigating nonparametric priors with Gibbs structure. Statistica Sinica, 18, 1653-1668. (pdf)
James, L.F., Lijoi, A., and Prünster, I. (2008). Distributions of linear functionals of two parameter Poisson-Dirichlet random measures. The Annals of Applied Probability, 18, 521-551. (pdf)
Lijoi A., Mena, R.H., Prünster, I. (2007). A Bayesian nonparametric method for prediction in EST analysis. BMC Bioinformatics, 8: 339. (pdf)
Lijoi, A., Mena, R.H., and Prünster, I. (2007). Bayesian nonparametric estimation of the probability of discovering a new species. Biometrika, 94, 769-786. (pdf)
Lijoi, A., Mena, R.H., and Prünster, I. (2007). Controlling the reinforcement in Bayesian nonparametric mixture models. Journal of the Royal Statistical Society Series B, 69, 715-740. (pdf)
Lijoi, A., Prünster, I., and Walker, S.G. (2007). On convergence rates for nonparametric posterior distributions. Australian & New Zealand Journal of Statistics, 49, 209-219. (pdf)
Lijoi, A., Prünster, I, and Walker, S.G. (2007). Bayesian consistency for stationary models. Econometric Theory, 23, 749-759. (pdf)
Walker, S.G., Lijoi, A., Prünster, I. (2007). On rates of convergence for posterior distributions in infinite-dimensional models. The Annals of Statistics, 35, 738-746. (pdf)
James, L.F., Lijoi, A., and Prünster, I. (2006). Conjugacy as a distinctive feature of the Dirichlet process. Scandinavian Journal of Statistics, 33, 105-120. (pdf)
Lijoi, A., Prünster, I, and Walker, S.G. (2005). On consistency of nonparametric normal mixtures for Bayesian density estimation. Journal of the American Statistical Association, 100, 1292-1296. (pdf)
Walker, S.G., Lijoi, A., Prünster, I. (2005). Data tracking and the understanding of Bayesian consistency. Biometrika, 92, 765-778. (pdf)
Lijoi, A., Mena, R.H., and Prünster, I. (2005). Hierarchical mixture modelling with normalized inverse Gaussian priors. Journal of the American Statistical Association, 100, 1278-1291.
Lijoi, A., Mena, R.H., and Prünster, I. (2005). Bayesian nonparametric analysis for a generalized Dirichlet process prior. Statistical Inference for Stochastic Processes, 8, 283-309. (pdf)
Lijoi, A. and Regazzini, E. (2004). Means of a Dirichlet process and multiple hypergeometric functions. The Annals of Probability, 32, 1469-1495. (pdf)
Lijoi, A., and Prünster, I. (2004). A note on the problem of heaps. Sankhya, 66, 234-242. (pdf)
Lijoi, A., Prünster, I. and Walker, S.G. (2004). Extending Doob's consistency theorem to nonparametric densities. Bernoulli, 10, 651-663. (pdf)
Conti, P.L., Lijoi, A. and Ruggeri, F. (2004). Long-range dependence and performance evaluation in telecom networks. Applied Stochastic Models in Business and Industry, 20, 305-321. (pdf)
Epifani, I., Lijoi, A. and Prünster, I. (2003). Exponential functionals and means of neutral-to-the-right priors. Biometrika, 90, 791-808. (pdf)
Regazzini, E., Lijoi, A. and Prünster, I. (2003). Distributional results for means of normalized random measures with independent increments. The Annals of Statistics, 31, 560-585. (pdf)
Lijoi, A. (2003). Approximating priors by finite mixtures of conjugate distributions for an exponential family. Journal of Statistical Planning and Inference, 113, 419-435.
Bottolo, L., Consonni, G., Dellaportas, P. and Lijoi, A. (2003). Bayesian analysis of extreme values by mixture modelling. Extremes, 6, 25-47. (pdf)
Epifani, I. and Lijoi, A. (2000). A finitely additive version of the Law of the Iterated Logarithm.Theory of Probability and its Applications, 44, 633-649. (pdf)
Publications in monographs
Lijoi, A.and Prünster, I. (2010). Models beyond the Dirichlet process. In Bayesian Nonparametrics (Hjort, N.L., Holmes, C.C., Müller, P., Walker, S.G. Eds.),Cambridge University Press, 80-136.
Conference proceedings, notes and discussions
Ascolani, F., Lijoi, A., Prùˆnster, I. (2024). Discussion of “Root and community inference on the latent growth process of a network” by Crane and Xu. Journal of the Royal Statistical Society-Series B, forthcoming.
Ascolani, F., Lijoi, A., Prùˆnster, I. (2023). Discussion of “Martingale Posterior Distributions” by Fong, Holmes and Walker. Journal of the Royal Statistical Society-Series B 85, 1404-1405.
Gaffi, F., Lijoi, A., Prünster I. (2022). Specification of the base measure of nonparametric priors via random means. In New Frontiers in Bayesian Statistics. BAYSM 2021. Springer Proceedings in Mathematics and Statistics, Vol. 405, 91-100.
Catalano, M., Lavenant, H., Lijoi, A., Prünster, I. (2022). Wasserstein distance and applications to Bayesian Nonparametrics. Proceedings of the 51st Meeting of the Italian Statistical Society, 1491-1496.
Catalano M., Lijoi A., Prünster I. (2021). Transport distances on random vectors of measures: recent advances in Bayesian nonparametrics. In Advances in Probability and Mathematical Statistics, Springer, 59-70.
Ascolani, F., Franzolini, B., Lijoi, A. and Prünster, I. (2021). On the dependence structure in Bayesian nonoparametric priors, Proceedings of the 50th Meeting of the Italian Statistical Society, 1219-1225.
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.
Catalano M., Lijoi A., Prünster I. (2019). Bayesian model comparison based on Wasserstein distances. Book of Short Papers of the Italian Statistical Society.
Camerlenghi, F., Lijoi, A., Prünster, I. (2019). Bayesian nonparametric prediction with multi-sample data. In Nonparametric Statistics - ISNPS 2018. Springer Proceedings in Mathematics & Statistics, Vol. 339, 113-121.
Camerlenghi, F., Lijoi, A., Prünster, I. (2018). Density estimation via hierarchies of nonparametric priors. In JSM Proceedings, Section on Bayesian Statistical Science, Alexandria, VA: American Statistical Association, 10pp.
Lijoi, A., Mena, R.H., Prünster, I. (2017). Discussion of "Sparse graphs using exchangeable random measures" by F. Caron and E. Fox. Journal of the Royal Statistical Society-Series B, 79, 1353.
Camerlenghi, F., Lijoi, A. and Prünster, I. (2017). On some distributional properties of hierarchical processes. In JSM Proceedings, Section on Bayesian Statistical Science. Alexandria, VA: American Statistical Association, 853-860.
Lijoi, A., Ruggiero, M. and Spanò, D. (2016). On the transition function of some time-dependent Dirichlet and gamma processes. In JSM Proceedings, Section on Nonparametric Statistics, Alexandria, VA: American Statistical Association.
Arbel, J., Lijoi, A. and Nipoti, B. (2015). Bayesian survival model based on moment characterization. In Bayesian Statistics from Methods to Models and Applications. Springer Proceedings in Mathematics & Statistics, vol 126. 3-14.
Lijoi, A., and Prünster, I. (2014). Discussion of “On simulation and properties of the stable law” by L. Devroye and L. James. Statistical Methods and Applications 23, 371-377.
Lijoi, A., Nipoti, B. and 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.
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.
De Blasi, P., Favaro, S., Lijoi, A. and Prünster, I. (2012). Two tales about Bayesian nonparametric modeling. In JSM Proceedings, Section on Bayesian Statistical Science, Alexandria, VA: American Statistical Association.
De Blasi, P., Lijoi, A. and Prünster, I. (2012). Large sample properties of Gibbs-type priors. In Proceedings of the XLVI Meeting of the Italian Statistical Society, vol. II.
De Blasi, P., Lijoi, A. and Prünster, I. (2011). On consistency of Gibbs-type priors. In Proceedings of the 58th World Statistics Congress of ISI (electronic).
Favaro, S., Lijoi, A., Mena, R. and Prünster, I. (2011). On some issues related to species sampling problems. In Proceedings of the 7th Conference on Statistical Computing and Complex Systems (electronic).
Lijoi, A. (2011). Dependent random probabilities for inference on partially exchangeable survival data. In Proceedings of the 7th Conference on Statistical Computing and Complex Systems (electronic).
Lijoi, A., Muliere, P., Prünster, I. and Taddei, F. (2010). Exchangeable random partitions for statistical and economic applications. In Proceedings of the Conference on Economics and Uncertainty, 85-111.
Lijoi, A., Mena, R. and Prünster, I. (2006). Bayesian clustering in nonparametric hierarchical mixture models. Proceedings of the LXIII conference of the Italian Statistical Society, Vol. I, 449-460.
James, L.F., Lijoi, A. and Prünster, I. (2004). On a class of priors for Bayesian nonparametrics. Proceedings of the LXII conference of the Italian Statistical Society, 401-404.
Epifani, I., Lijoi, A. and Prünster, I. (2003). A note on the simulation of Lévy processes with a view towards applications. Proceedings of S.Co. 2003 - Modelli Complessi e Metodi Computazionali Intensivi per la Stima e la Previsione, 188-193.
Lijoi, A. and 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.
Epifani, I. and Lijoi, A. (2002). Means of nonparametric priors based on increasing additive processes. Mini-proceedings: Second MaPhySto Conference on “Lévy processes: Theory and Applications”, 103-107.
Modificato il 20/01/2025