Marc Lavielle
Marc Lavielle
research director, Inria Saclay
Verified email at - Homepage
Cited by
Cited by
Convergence of a stochastic approximation version of the EM algorithm
B Delyon, M Lavielle, E Moulines
Annals of statistics, 94-128, 1999
Using penalized contrasts for the change-point problem
M Lavielle
Signal processing 85 (8), 1501-1510, 2005
Maximum likelihood estimation in nonlinear mixed effects models
E Kuhn, M Lavielle
Computational statistics & data analysis 49 (4), 1020-1038, 2005
A statistical approach for array CGH data analysis
F Picard, S Robin, M Lavielle, C Vaisse, JJ Daudin
BMC bioinformatics 6 (1), 1-14, 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
Coupling a stochastic approximation version of EM with an MCMC procedure
E Kuhn, M Lavielle
ESAIM: Probability and Statistics 8, 115-131, 2004
Detection of multiple changes in a sequence of dependent variables
M Lavielle
Stochastic Processes and their applications 83 (1), 79-102, 1999
Mixed effects models for the population approach: models, tasks, methods and tools
M Lavielle
CRC press, 2014
Detection of multiple change-points in multivariate time series
M Lavielle, G Teyssiere
Lithuanian Mathematical Journal 46 (3), 287-306, 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
Estimation of population pharmacokinetic parameters of saquinavir in HIV patients with the MONOLIX software
M Lavielle, F Mentré
Journal of pharmacokinetics and pharmacodynamics 34 (2), 229-249, 2007
An application of MCMC methods for the multiple change-points problem
M Lavielle, E Lebarbier
Signal processing 81 (1), 39-53, 2001
Optimal segmentation of random processes
M Lavielle
IEEE Transactions on Signal Processing 46 (5), 1365-1373, 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
Adaptive detection of multiple change-points in asset price volatility
M Lavielle, G Teyssiere
Long memory in economics, 129-156, 2007
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
A note on BIC in mixed-effects models
M Delattre, M Lavielle, MA Poursat
Electronic journal of statistics 8 (1), 456-475, 2014
The multiple change-points problem for the spectral distribution
M Lavielle, C Ludeña
Bernoulli, 845-869, 2000
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 (1), 41-61, 2011
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
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