| 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 | 301 | 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 | 260 | 2007 |
| Models beyond the Dirichlet process A Lijoi, I Prünster Bayesian nonparametrics, 80, 2010 | 256 | 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 | 237 | 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 | 229 | 2009 |
| Bayesian nonparametric estimation of the probability of discovering new species A Lijoi, RH Mena, I Prünster Biometrika 94 (4), 769-786, 2007 | 194 | 2007 |
| 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, 2015 | 176 | 2015 |
| 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 | 117 | 2009 |
| On rates of convergence for posterior distributions in infinite-dimensional models SG Walker, A Lijoi, I Prünster The Annals of Statistics 35 (2), 738-746, 2007 | 111 | 2007 |
| Bayesian inference with dependent normalized completely random measures A Lijoi, B Nipoti, I Prünster Bernoulli 20 (3), 1260-1291, 2014 | 102 | 2014 |
| Distribution theory for hierarchical processes F Camerlenghi, A Lijoi, P Orbanz, I Prünster The Annals of Statistics 47 (1), 67-92, 2019 | 94 | 2019 |
| Modeling with normalized random measure mixture models E Barrios, A Lijoi, LE Nieto-Barajas, I Prünster Statistical Science 28 (3), 313-334, 2013 | 88 | 2013 |
| Bayesian nonparametric estimators derived from conditional Gibbs structures A Lijoi, I Prünster, SG Walker The Annals of Applied Probability 18 (4), 1519-1547, 2008 | 83 | 2008 |
| 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 | 81 | 2005 |
| Conjugacy as a distinctive feature of the Dirichlet process LF James, A Lijoi, I Prünster Scandinavian Journal of Statistics 33 (1), 105-120, 2006 | 77 | 2006 |
| Normalized random measures driven by increasing additive processes LE Nieto-Barajas, I Prünster, SG Walker The Annals of Statistics 32 (6), 2343-2360, 2004 | 70 | 2004 |
| A new estimator of the discovery probability S Favaro, A Lijoi, I Prünster Biometrics 68 (4), 1188-1196, 2012 | 56 | 2012 |
| Investigating nonparametric priors with Gibbs structure A Lijoi, I Prünster, SG Walker Statistica Sinica, 1653-1668, 2008 | 52 | 2008 |
| Latent nested nonparametric priors (with discussion) F Camerlenghi, DB Dunson, A Lijoi, I Prünster, A Rodríguez Bayesian Analysis 14 (4), 1303, 2019 | 51 | 2019 |
| Bayesian nonparametric analysis for a generalized Dirichlet process prior A Lijoi, RH Mena, I Prünster Statistical Inference for Stochastic Processes 8, 283-309, 2005 | 48 | 2005 |
