| Estimation in nonlinear mixed-effects models using heavy-tailed distributions C Meza, F Osorio, R De la Cruz Statistics and Computing 22, 121-139, 2012 | 99 | 2012 |
| REML estimation of variance parameters in nonlinear mixed effects models using the SAEM algorithm C Meza, F Jaffrézic, JL Foulley Biometrical Journal: Journal of Mathematical Methods in Biosciences 49 (6 …, 2007 | 40 | 2007 |
| Autoregressive planet search: Application to the kepler mission GA Caceres, ED Feigelson, GJ Babu, N Bahamonde, A Christen, K Bertin, ... The Astronomical Journal 158 (2), 58, 2019 | 34 | 2019 |
| AutoRegressive planet search: methodology GA Caceres, ED Feigelson, GJ Babu, N Bahamonde, A Christen, K Bertin, ... The Astronomical Journal 158 (2), 57, 2019 | 33 | 2019 |
| Performance of port facilities in Southern Chile during the 27 February 2010 Maule earthquake S Brunet, JC de la Llera, A Jacobsen, E Miranda, C Meza Earthquake Spectra 28 (1_suppl1), 553-579, 2012 | 33 | 2012 |
| Estimation in the probit normal model for binary outcomes using the SAEM algorithm C Meza, F Jaffrézic, JL Foulley Computational statistics & data analysis 53 (4), 1350-1360, 2009 | 28 | 2009 |
| Genetic analysis of growth curves using the SAEM algorithm F Jaffrézic, C Meza, M Lavielle, JL Foulley Genetics Selection Evolution 38 (6), 583-600, 2006 | 24 | 2006 |
| Lasso-type estimators for semiparametric nonlinear mixed-effects models estimation A Arribas-Gil, K Bertin, C Meza, V Rivoirard Statistics and Computing 24, 443-460, 2014 | 23 | 2014 |
| A parameter expansion version of the SAEM algorithm M Lavielle, C Meza Statistics and Computing 17, 121-130, 2007 | 21 | 2007 |
| Bayesian regression analysis of data with random effects covariates from nonlinear longitudinal measurements R De la Cruz, C Meza, A Arribas-Gil, RJ Carroll Journal of multivariate analysis 143, 94-106, 2016 | 18 | 2016 |
| Classification of longitudinal data through a semiparametric mixed‐effects model based on lasso‐type estimators A Arribas‐Gil, R De la Cruz, E Lebarbier, C Meza Biometrics 71 (2), 333-343, 2015 | 18 | 2015 |
| Reliability estimation for stress-strength model based on Unit-half-normal distribution R De la Cruz, HS Salinas, C Meza Symmetry 14 (4), 837, 2022 | 12 | 2022 |
| Predicting pregnancy outcomes using longitudinal information: a penalized splines mixed‐effects model approach R De la Cruz, C Fuentes, C Meza, DJ Lee, A Arribas‐Gil Statistics in medicine 36 (13), 2120-2134, 2017 | 10 | 2017 |
| Semi-parametric segmentation of multiple series using a DP-Lasso strategy K Bertin, X Collilieux, E Lebarbier, C Meza Journal of Statistical Computation and Simulation 87 (6), 1255-1268, 2017 | 10 | 2017 |
| Error-rate estimation in discriminant analysis of non-linear longitudinal data: a comparison of resampling methods R de la Cruz, C Fuentes, C Meza, V Núñez-Antón Statistical methods in medical research 27 (4), 1153-1167, 2018 | 5 | 2018 |
| Segmentation of multiple series using a lasso strategy K Bertin, X Collilieux, E Lebarbier, C Meza arXiv preprint arXiv:1406.6627, 2014 | 5 | 2014 |
| New insights from GWAS on BMI-related growth traits in a longitudinal cohort of admixed children with Native American and European ancestry L Vicuña, E Barrientos, T Norambuena, D Alvares, JC Gana, ... Iscience 26 (2), 2023 | 3 | 2023 |
| A Bayesian approach for the segmentation of series with a functional effect M Baragatti, K Bertin, E Lebarbier, C Meza Statistical Modelling 19 (2), 194-220, 2019 | 3 | 2019 |
| Classification of longitudinal profiles using semi‐parametric nonlinear mixed models with P‐Splines and the SAEM algorithm M Márquez, C Meza, DJ Lee, R De la Cruz Statistics in Medicine 42 (27), 4952-4971, 2023 | 1 | 2023 |
| Reliability Estimation for Stress–Strength Model Based on Unit-Half-Normal Distribution. Symmetry 2022, 14, 837 R de la Cruz, HS Salinas, C Meza s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2022 | 1 | 2022 |
