Convergence of a stochastic approximation version of the EM algorithm B Delyon, M Lavielle, E Moulines Annals of statistics, 94-128, 1999 | 1045 | 1999 |
Using penalized contrasts for the change-point problem M Lavielle Signal processing 85 (8), 1501-1510, 2005 | 738 | 2005 |
Maximum likelihood estimation in nonlinear mixed effects models E Kuhn, M Lavielle Computational statistics & data analysis 49 (4), 1020-1038, 2005 | 688 | 2005 |
A statistical approach for array CGH data analysis F Picard, S Robin, M Lavielle, C Vaisse, JJ Daudin BMC bioinformatics 6, 1-14, 2005 | 508 | 2005 |
Least‐squares estimation of an unknown number of shifts in a time series M Lavielle, E Moulines Journal of time series analysis 21 (1), 33-59, 2000 | 393 | 2000 |
Coupling a stochastic approximation version of EM with an MCMC procedure E Kuhn, M Lavielle ESAIM: Probability and Statistics 8, 115-131, 2004 | 387 | 2004 |
Mixed effects models for the population approach: models, tasks, methods and tools M Lavielle CRC press, 2014 | 291 | 2014 |
Detection of multiple changes in a sequence of dependent variables M Lavielle Stochastic Processes and their applications 83 (1), 79-102, 1999 | 289 | 1999 |
Detection of multiple change-points in multivariate time series M Lavielle, G Teyssiere Lithuanian Mathematical Journal 46, 287-306, 2006 | 244 | 2006 |
Extension of the SAEM algorithm to left-censored data in nonlinear mixed-effects model: Application to HIV dynamics model A Samson, M Lavielle, F Mentré Computational Statistics & Data Analysis 51 (3), 1562-1574, 2006 | 206 | 2006 |
Estimation of population pharmacokinetic parameters of saquinavir in HIV patients with the MONOLIX software M Lavielle, F Mentré Journal of pharmacokinetics and pharmacodynamics 34, 229-249, 2007 | 202 | 2007 |
An application of MCMC methods for the multiple change-points problem M Lavielle, E Lebarbier Signal processing 81 (1), 39-53, 2001 | 177 | 2001 |
Optimal segmentation of random processes M Lavielle IEEE Transactions on signal processing 46 (5), 1365-1373, 1998 | 172 | 1998 |
A comprehensive hepatitis C viral kinetic model explaining cure E Snoeck, P Chanu, M Lavielle, P Jacqmin, EN Jonsson, K Jorga, ... Clinical Pharmacology & Therapeutics 87 (6), 706-713, 2010 | 154 | 2010 |
Adaptive detection of multiple change-points in asset price volatility M Lavielle, G Teyssiere Long memory in economics, 129-156, 2007 | 140 | 2007 |
Parameter estimation in nonlinear mixed effect models using saemix, an R implementation of the SAEM algorithm E Comets, A Lavenu, M Lavielle Journal of Statistical Software 80, 1-41, 2017 | 124 | 2017 |
A note on BIC in mixed-effects models M Delattre, M Lavielle, MA Poursat | 122 | 2014 |
The use of the SAEM algorithm in MONOLIX software for estimation of population pharmacokinetic-pharmacodynamic-viral dynamics parameters of maraviroc in asymptomatic HIV subjects PLS Chan, P Jacqmin, M Lavielle, L McFadyen, B Weatherley Journal of pharmacokinetics and pharmacodynamics 38, 41-61, 2011 | 104 | 2011 |
The multiple change-points problem for the spectral distribution M Lavielle, C Ludeña Bernoulli, 845-869, 2000 | 96 | 2000 |
The SAEM algorithm for group comparison tests in longitudinal data analysis based on non‐linear mixed‐effects model A Samson, M Lavielle, F Mentré Statistics in medicine 26 (27), 4860-4875, 2007 | 94 | 2007 |