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ANTONIO LIJOI

Papers

Articles in refereed Journals

Camerlenghi, F., Dunson, D.B.., Lijoi, A., Prünster, I., Rodriguez, A. (2019). Latent nested nonparametric priors (with discussion). Bayesian Analysis, forthcoming.(pdf)

Camerlenghi, F., Lijoi, A., Orbanz, P. and Prünster, I. (2019). Distribution theory for hierarchical processes. The Annals of Statistics, 47, 67-92. (main manuscriptappendix)

Camerlenghi, F., Lijoi, A. and Prünster, I. (2018). Bayesian nonparametric inference beyond the Gibbs-type frameworkScandinavian 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 processElectronic 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 measureBiometrika, 104, 681-697. (pdf)

Camerlenghi, F., Lijoi, A. and Prünster, I. (2017). Bayesian prediction with multiple-samples information. Journal of Multivariariate Analysis156, 18-28. (pdf)

Lijoi, A., Muliere, P., Prünster, I. and Taddei, F. (2016). Innovation, growth and aggregate volatility from a Bayesian nonparametric perspectiveElectronic 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 measuresBernoulli, 20, 1260-1291. (pdf)

Lijoi, A., Nipoti, B. and Prünster, I. (2014). Dependent mixture models: clustering and borrowing informationComputational 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 priorsStatistica Sinica, 23, 1299-1322. (pdf)

Leisen, F., Lijoi, A. and Spanò, D. (2013). A vector of Dirichlet processesElectronic 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 priorsBiometrika, 99, 663-674. (pdf)

Favaro, S., Lijoi, A. and Prünster, I. (2012). Asymptotics for a Bayesian nonparametric estimator of species richnessBernoulli, 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 caseStatistics & Probability Letters, 81, 1827-1832. (pdf)

Leisen, F. and Lijoi, A. (2011). Vectors of two-parameter Poisson-Dirichlet processesJournal of Multivariate Analysis, 102, 482-496. (pdf)

Lijoi, A. and Prünster, I. (2011). A conversation with Eugenio RegazziniStatistical 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 priorJournal of the Royal Statistical Society Series B, 71, 993-1008. (pdf)

Lijoi, A. and Prünster, I. (2009). Distributional properties of means of random probability measuresStatistics Surveys, 3, 47-95. (pdf

James, L.F., Lijoi, A., and Prünster, I. (2009). Posterior analysis for normalized random measures with independent incrementsScandinavian 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 modelsJournal of Nonparametric Statistics, 20, 447-457. (pdf)

Lijoi, A., Prünster, I., and Walker, S.G. (2008). Bayesian nonparametric estimators derived from conditional Gibbs structuresThe Annals of Applied Probability, 18, 1519-1547. (pdf)

Lijoi, A., Prünster, I., and Walker, S.G. (2008). Investigating nonparametric priors with Gibbs structureStatistica Sinica, 18, 1653-1668. (pdf)

James, L.F., Lijoi, A., and Prünster, I. (2008). Distributions of linear functionals of two parameter Poisson-Dirichlet random measuresThe Annals of Applied Probability, 18, 521-551. (pdf)

Lijoi A., Mena, R.H., Prünster, I. (2007). A Bayesian nonparametric method for prediction in EST analysisBMC 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 modelsJournal 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 distributionsAustralian & 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 modelsThe Annals of Statistics, 35, 738-746. (pdf)

James, L.F., Lijoi, A., and Prünster, I. (2006). Conjugacy as a distinctive feature of the Dirichlet processScandinavian 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 estimationJournal 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 priorsJournal 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 functionsThe Annals of Probability, 32, 1469-1495. (pdf)

Lijoi, A., and Prünster, I. (2004). A note on the problem of heapsSankhya, 66, 234-242. (pdf)

Lijoi, A., Prünster, I. and Walker, S.G. (2004). Extending Doob's consistency theorem to nonparametric densitiesBernoulli, 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 priorsBiometrika, 90, 791-808. (pdf)

Regazzini, E., Lijoi, A. and Prünster, I. (2003). Distributional results for means of normalized random measures with independent incrementsThe 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 modellingExtremes, 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

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, 1071-1078.

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

Arbel, J., Lijoi, A. and Nipoti, B. (2015). Bayesian survival model based on moment characterization. In: Bayesian Statistics from Methods to Models, (Fruewirth-Schnatter, S., Bitto, A., Kastner, G., Posekany, A., Eds.). Springer Proceedings in Mathematics & Statistics, 3-14.

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

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.

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., Mena, R.H., and Prünster, I. (2012). Two Tales About Bayesian Nonparametric Modeling. JSM Proceedings, Section on Bayesian Statistical Science. Alexandria, VA: American Statistical Association, 1696-1706.

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

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

Favaro, S., Lijoi A., Mena, R.H., and 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 (electronic).

Lijoi, A. (2011). Dependent random probabilities for inference on partially exchangeable data. Proceedings of the 7th Conference on Statistical Computing and Complex Systems - SCo 2011 (electronic).

Lijoi, A., Muliere, P., Prunster, I. and Taddei, F. (2010). Exchangeable random partitions for statisti

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