| Distributional results for means of normalized random measures with independent increments E Regazzini, A Lijoi, I Prünster The Annals of Statistics 31 (2), 560-585, 2003 | 315 | 2003 |
| Controlling the reinforcement in Bayesian non-parametric mixture models A Lijoi, RH Mena, I Prünster Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2007 | 279 | 2007 |
| Models beyond the Dirichlet process A Lijoi, I Prünster Bayesian nonparametrics 28 (80), 342, 2010 | 263 | 2010 |
| Hierarchical mixture modeling with normalized inverse-Gaussian priors A Lijoi, RH Mena, I Prünster Journal of the American Statistical Association 100 (472), 1278-1291, 2005 | 241 | 2005 |
| Posterior analysis for normalized random measures with independent increments LF James, A Lijoi, I Prünster Scandinavian Journal of Statistics 36 (1), 76-97, 2009 | 240 | 2009 |
| Are Gibbs-type priors the most natural generalization of the Dirichlet process? P De Blasi, S Favaro, A Lijoi, RH Mena, I Prünster, M Ruggiero IEEE transactions on pattern analysis and machine intelligence 37 (2), 212-229, 2013 | 219 | 2013 |
| Bayesian nonparametric estimation of the probability of discovering new species A Lijoi, RH Mena, I Prünster Biometrika 94 (4), 769-786, 2007 | 216 | 2007 |
| Bayesian non-parametric inference for species variety with a two-parameter Poisson–Dirichlet process prior S Favaro, A Lijoi, RH Mena, I Prünster Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2009 | 131 | 2009 |
| Bayesian inference with dependent normalized completely random measures A Lijoi, B Nipoti, I Prünster | 109 | 2014 |
| Distribution theory for hierarchical processes F Camerlenghi, A Lijoi, P Orbanz, I Prünster The Annals of Statistics 47 (1), 67-92, 2019 | 108 | 2019 |
| On rates of convergence for posterior distributions in infinite-dimensional models SG Walker, A Lijoi, I Prünster | 104 | 2007 |
| Modeling with normalized random measure mixture models E Barrios, A Lijoi, LE Nieto-Barajas, I Prünster | 95 | 2013 |
| Bayesian nonparametric estimators derived from conditional Gibbs structures A Lijoi, I Prünster, SG Walker | 88 | 2008 |
| Conjugacy as a distinctive feature of the Dirichlet process LF James, A Lijoi, I Prünster Scandinavian Journal of Statistics 33 (1), 105-120, 2006 | 79 | 2006 |
| On consistency of nonparametric normal mixtures for Bayesian density estimation A Lijoi, I Prünster, SG Walker Journal of the American Statistical Association 100 (472), 1292-1296, 2005 | 79 | 2005 |
| Means of a Dirichlet process and multiple hypergeometric functions A Lijoi, E Regazzini | 63 | 2004 |
| Latent nested nonparametric priors (with discussion) F Camerlenghi, DB Dunson, A Lijoi, I Prünster, A Rodríguez Bayesian Analysis 14 (4), 1303, 2019 | 61 | 2019 |
| A new estimator of the discovery probability S Favaro, A Lijoi, I Prünster Biometrics 68 (4), 1188-1196, 2012 | 61 | 2012 |
| Investigating nonparametric priors with Gibbs structure A Lijoi, I Prünster, SG Walker Statistica Sinica, 1653-1668, 2008 | 57 | 2008 |
| Bayesian analysis of extreme values by mixture modeling L Bottolo, G Consonni, P Dellaportas, A Lijoi Extremes 6, 25-47, 2003 | 52 | 2003 |
