| 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 |
| 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 | 225 | 2005 |
| Bayesian nonparametric estimation of the probability of discovering new species A Lijoi, RH Mena, I Prünster Biometrika 94 (4), 769-786, 2007 | 193 | 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, 2013 | 175 | 2013 |
| 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 | 116 | 2009 |
| 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 |
| A Bayesian nonparametric method for prediction in EST analysis A Lijoi, RH Mena, I Prünster BMC bioinformatics 8, 1-10, 2007 | 44 | 2007 |
| Geometric stick-breaking processes for continuous-time Bayesian nonparametric modeling RH Mena, M Ruggiero, SG Walker Journal of Statistical Planning and Inference 141 (9), 3217-3230, 2011 | 39 | 2011 |
| On a nonparametric change point detection model in Markovian regimes AF Martínez, RH Mena | 37 | 2014 |
| Stationary autoregressive models via a Bayesian nonparametric approach RH Mena, SG Walker Journal of Time Series Analysis 26 (6), 789-805, 2005 | 35 | 2005 |
| A new Bayesian nonparametric mixture model R Fuentes-Garcia, RH Mena, SG Walker Communications in Statistics—Simulation and Computation® 39 (4), 669-682, 2010 | 33 | 2010 |
| Using posterior predictive distributions to analyse epidemic models: COVID-19 in Mexico City RH Mena, JX Velasco-Hernandez, NB Mantilla-Beniers, ... Physical biology 17 (6), 065001, 2020 | 31 | 2020 |
| Impacts of day-ahead versus real-time market prices on wholesale electricity demand in Texas P Damien, R Fuentes-García, RH Mena, J Zarnikau Energy Economics 81, 259-272, 2019 | 28 | 2019 |
| On the Bayesian mixture model and identifiability RH Mena, SG Walker Journal of Computational and Graphical Statistics 24 (4), 1155-1169, 2015 | 28 | 2015 |
| Dynamic density estimation with diffusive Dirichlet mixtures RH Mena, M Ruggiero | 27 | 2016 |
| A flexible class of parametric transition regression models based on copulas: application to poliomyelitis incidence G Escarela, RH Mena, A Castillo-Morales Statistical Methods in Medical Research 15 (6), 593-609, 2006 | 26 | 2006 |
| A time dependent Bayesian nonparametric model for air quality analysis L Gutiérrez, RH Mena, M Ruggiero Computational statistics & data analysis 95, 161-175, 2016 | 25 | 2016 |
| A nonparametric dependent process for Bayesian regression R Fuentes-García, RH Mena, SG Walker Statistics & probability letters 79 (8), 1112-1119, 2009 | 24 | 2009 |
| On a construction of Markov models in continuous time RHMSG WALKER Metron 67 (3), 303-323, 2009 | 22 | 2009 |
| A Bayesian nonparametric approach for comparing clustering structures in EST libraries A Lijoi, RH Mena, I Prünster Journal of Computational Biology 15 (10), 1315-1327, 2008 | 20 | 2008 |
Consuelo R. NavaUniversità della Valle d'AostaVerified email at univda.it
