Markov beta and gamma processes for modelling hazard rates LE Nieto‐Barajas, SG Walker Scandinavian Journal of Statistics 29 (3), 413-424, 2002 | 107 | 2002 |
Modeling with normalized random measure mixture models E Barrios, A Lijoi, LE Nieto-Barajas, I Prünster | 89 | 2013 |
Normalized random measures driven by increasing additive processes LE Nieto-Barajas, I Prünster, SG Walker | 70 | 2004 |
Bayesian random segmentation models to identify shared copy number aberrations for array CGH data V Baladandayuthapani, Y Ji, R Talluri, LE Nieto-Barajas, JS Morris Journal of the american statistical association 105 (492), 1358-1375, 2010 | 54 | 2010 |
A Bayesian nonparametric approach for time series clustering LE Nieto-Barajas, A Contreras-Cristán | 52 | 2014 |
Bayesian nonparametric survival analysis via Lévy driven Markov processes LE Nieto-Barajas, SG Walker Statistica Sinica, 1127-1146, 2004 | 42 | 2004 |
A time-series DDP for functional proteomics profiles LE Nieto-Barajas, P Müller, Y Ji, Y Lu, GB Mills Biometrics 68 (3), 859-868, 2012 | 38 | 2012 |
Claims reserving: a correlated Bayesian model E de Alba, LE Nieto-Barajas Insurance: Mathematics and Economics 43 (3), 368-376, 2008 | 32 | 2008 |
A sensitivity analysis for Bayesian nonparametric density estimators LE Nieto-Barajas, I Prünster Statistica Sinica, 685-705, 2009 | 26 | 2009 |
A time series model for responses on the unit interval A Jara, LE Nieto-Barajas, F Quintana | 25 | 2013 |
Bayesian semiparametric cure rate model with an unknown threshold LE Nieto‐Barajas, G Yin Scandinavian Journal of Statistics 35 (3), 540-556, 2008 | 22 | 2008 |
A Bayesian Non‐Parametric Dynamic AR Model for Multiple Time Series Analysis LE Nieto‐Barajas, FA Quintana Journal of Time Series Analysis 37 (5), 675-689, 2016 | 21 | 2016 |
Rubbery polya tree LE Nieto‐Barajas, P Mueller Scandinavian Journal of Statistics 39 (1), 166-184, 2012 | 21 | 2012 |
Model-based approach for household clustering with mixed scale variables C Carmona, L Nieto-Barajas, A Canale Advances in Data Analysis and Classification 13 (2), 559-583, 2019 | 20 | 2019 |
A zero-inflated spatial gamma process model with applications to disease mapping LE Nieto-Barajas, D Bandyopadhyay Journal of agricultural, biological, and environmental statistics 18, 137-158, 2013 | 20 | 2013 |
Quick counts in the Mexican presidential elections: A Bayesian approach M Mendoza, LE Nieto-Barajas Electoral Studies 43, 124-132, 2016 | 19 | 2016 |
Bayesian interpolation of unequally spaced time series LE Nieto-Barajas, T Sinha Stochastic environmental research and risk assessment 29 (2), 577-587, 2015 | 18 | 2015 |
Scalable Bayesian nonparametric measures for exploring pairwise dependence via Dirichlet Process Mixtures S Filippi, CC Holmes, LE Nieto-Barajas Electronic journal of statistics 10 (2), 3338, 2016 | 17 | 2016 |
Characterizing variation of nonparametric random probability measures using the Kullback–Leibler divergence J Watson, L Nieto-Barajas, C Holmes Statistics 51 (3), 558-571, 2017 | 16 | 2017 |
Bayesian semiparametric analysis of short-and long-term hazard ratios with covariates LE Nieto-Barajas Computational Statistics & Data Analysis 71, 477-490, 2014 | 16 | 2014 |