Lavielle M., Waggoner P.“Exploring and Comparing Unsupervised Clustering Algorithms", Submitted, 2019.

Karimi B., Lavielle M., Moulines E.“f-SAEM: A fast Stochastic Approximation of the EM algorithm for nonlinear mixed effects models", Submitted, 2019.

Jiang W., Josse J., Lavielle M.“Stochastic Approximation EM for Logistic Regression with Missing Values", Submitted, 2019.

Polesskaya A., Lavielle M., Vacher S., Molinie N., Bièche I., Gautreau A.“Systematic analysis of WAVE complexes in a breast cancer cohort reveals an anti-migratory function of CYFIP2", Submitted, 2019.

Touzot M., Seris P.,Maheas C., Couturier A., Langlois A.L., Moubakir K., Laplanche S.,  Ridel C.,  Lavielle M.“A mathematical model to anticipate the BNP level in hemodialysis patient" Nephrology, Vol 33, pages 534--535, 2019.

Karimi B., Lavielle M.“f-Fast MCMC sampling for nonlinear mixed effects models", BAYSM Proceedings, 2018.

Alla F., Agrinier N., Lavielle M., Rossignol R., Gonthier D., Boivin J.M., Zannad F.“Impact of the interruption of a large heart failure regional disease management program on hospital admission rate: a population-based study", European Journal of Heart Failure, Oxford University Press (OUP), Vol 20, no 6, pages 1066--1068, 2018.

Cerou, M., Lavielle, M., Brendel, K., Chenel, M., Comets, E.“Development and performance of npde for the evaluation of time-to-event models”, Pharmaceutical research, Vol 35, no 2, 2018.

Lavielle M.“Pharmacometrics models with hidden Markovian dynamics”, Journal of Pharmacokinetics and Pharmacodynamics, Vol 45, pages 91--105, 2018, link.

Comets E., Lavenu A., Lavielle M.“Parameter estimation in nonlinear mixed effect models using saemix", Journal of Statistical Software, Vol 80, pages 1--41, 2017.

Lavielle M., Ribba B.,“Enhanced Method for Diagnosing Pharmacometric Models: Random Sampling from Conditional Distributions", Pharmaceutical Research, Vol 33, pages 2979--2988, 2016.

Lavielle M., Aarons L. “What do we mean by identifiability in mixed-effects models?”, Journal of Pharmacokinetics and Pharmacodynamics, Volume 3, pages 111-122, 2016, link.

Biliouris K., Lavielle M., Trame M. “MatVPC: A User-friendly Matlab-based Tool for the Simulation and Evaluation of Systems Pharmacology Models.”, CPT: Pharmacometrics & Systems Pharmacology, Volume 4, Issue 9, pages 547–557, 2015, online.

Iung B., Tubiana S., Alla F., Lavielle M. “Interpretation of time changes in the incidence of infective endocarditis”, The Lancet, 2015.

Mazzocco P., Barthélémy C., Kaloshi G., Lavielle M., et al. “Prediction of response to temozolomide in low-grade glioma patients based on tumor size dynamics and genetic characteristics”, CPT: Pharmacometrics & Systems Pharmacology, 2015, online.

Swat M.J., Moodie S., Wimalaratne S., Kristensen N.R., Lavielle M., et al. “Pharmacometrics Markup Language (PharmML): Opening New Perspectives for Model Exchange in Drug Development”, CPT: Pharmacometrics & Systems Pharmacology, 2015, online.

Jeleazcov C., Lavielle M., Schüttler J., Ihmsen H.“Direct and indirect pharmacodynamic response modeling of systolic blood pressure with MONOLIX. A study in adult volunteers during experimental anesthesia with propofol”, British Journal of Anaesthesia, 2015, online.

Mbogning C., Bleakley K., Lavielle M.“Joint modeling of longitudinal and repeated time-to-event data with maximum likelihood estimation via the SAEM algorithm”, Journal of Statistical Computation and Simulation, vol. 85, n. 8, 1512--1528, 2015, link.

Lavielle M.“Mixed Effects Models for the Population Approach. Models, Tasks, Methods & Tools. ”, Chapman & Hall/CRC Biostatistics Series, 2014, link.

Delattre M., Poursat M.A., Lavielle M.“A note on BIC in mixed-effects models”, Electronic Journal of Statistics, vol. 8, 456--475, 2014, link.

Mbogning C., Lavielle M.“An improved SAEM algorithm for maximum likelihood estimation in mixtures of non linear mixed effects models”, Statistics and Computing, vol. 24, 693--707, 2014, link.

Mentré F., Chenel M., Comets E., Grevel J., Hooker A., Karlsson M.O., Lavielle M., Gueorguieva I.“Current Use and Developments Needed for Optimal Design in Pharmacometrics: A Study Performed Among DDMoRe’s European Federation of Pharmaceutical Industries and Associations Members”, CPT: Pharmacometrics & Systems Pharmacology, vol. 2, 2013, link.

Delattre M., Lavielle M.“Coupling the SAEM algorithm and the extended Kalman filter for maximum likelihood estimation in mixed-effects diffusion models”, Statistics and Its Interface, vol. 6, 519--532, 2013, link.

Lavielle M."Rôle et limites de la statistique dans l’évaluation des risques sanitaires liés aux OGM", Statistique et Société, vol. 1, 2013, link.

Faure M.C., Sulpice J.C., Delattre M., Lavielle M., Prigent M., Cuif M.H., Melchior C., Tschirhart E., Nüsse O., Dupré-Crochet S. “The recruitment of p47phox and Rac2G12V at the phagosome is transient and phosphatidylserine-dependent”, Biology of the Cell, vol. 105, 1--18, 2013.

Bleakley K., Lavielle M.“Effective strategies for segmenting data into coherent subsets”, HAL, 2012.

Mbogning C., Bleakley K., Lavielle M.“Between-subject and within-subject model mixtures for classifying HIV treatment response”, Progress in Applied Mathematics, vol. 4, 148--166, 2012.

Grevel J., Lavielle M.“A safe bet?”, European Biopharmaceutical Review, 2012.

Delattre M., Lavielle M.“Maximum Likelihood Estimation in Discrete Mixed Hidden Markov Models”, Computational Statistics and Data Analysis, vol.56, 2073–-2085 2012.

Delattre M., Savic R., Miller K., Karlsson M., Lavielle M.“Analysis of exposure–response of CI-945 in patients with epilepsy: application of novel Mixed Hidden Markov Modelling Methodology”, Journal of Pharmacokinetics and Pharmacodynamics, vol. 39, pp. 263--271, 2012.

Keller M., Lavielle M.“Random threshold for linear model selection, revisited”, Statistics and Its Interface, vol. 5, pp. 263-275, 2012.

Lavielle M., Bleakley K., “Automatic data binning for improved visual diagnosis of pharmacometric models”, Journal of Pharmacokinetics and Pharmacodynamics, vol. 38, pp. 861-871, 2011.

Dubois A., Lavielle M., Gsteiger S., Pigeolet E., Mentré F. “Model-Based Analyses of Bioequivalence Crossover Trials Using the SAEM Algorithm”, Statistics in Medicine, vol. 30, pp. 2582-600, 2011.

Lavielle M., Samson A., Fermin A.K., Mentré F. “Maximum likelihood estimation of long term HIV dynamic models and antiviral response”, Biometrics, vol. 67, pp. 250-259, 2011.

Chan P., Jacqmin P., Lavielle M., McFadyen L., Weatherley B.   "The Use of the SAEM Algorithm in MONOLIX Software for Estimation of Population Pharmacokinetic-Pharmacodynamic-Viral Dynamics Parameters of Maraviroc in Asymptomatic HIV Subjects'' Journal of Pharmacokinetics and Pharmacodynamics, vol. 38, pp. 41-61, 2011.

Savic R., Mentré F., Lavielle M. "Implementation and Evaluation of an SAEM algorithm for longitudinal ordered categorical data with an illustration in pharmacometrics'', The AAPS Journal, vol. 13, n. 1, pp; 44-53, 2011.

Snoeck E., Chanu P., Lavielle M., Jacqmin P., Jonsson N., Jorga K., Goggin T., Jumbe S. , Frey N. "Hepatitis C Viral Dynamics Explaining Breakthrough, Relapse or Response after Chronic Treatment", Clinical Pharmacology and Therapeutics, Vol 87 (6), pp 706-713, 2010. AAPS Outstanding Manuscript Award in Modeling and Simulation

Keller M., Lavielle M. "Random threshold for linear model selection, revisited", 2010.

Savic R., Lavielle M..   "A new SAEM algorithm: Performance in Population Models for Count Data'' Journal of Pharmacokinetics and Pharmacodynamics , vol. 36, 367-379, 2009.

Perry JN, Ter Braak CJ, Dixon PM, Duan JJ, Hails RS, Huesken A, Lavielle M, Marvier M, Scardi M, Schmidt K, Tothmeresz B, Schaarschmidt F, van der Voet H.   "Statistical aspects of environmental risk assessment of GM plants for effects on non-target organisms'' Environ Biosafety Res., vol. 8 pp 65-78, 2009.

Lavielle M., Ludeña C.   "Random thresholds for linear model selection"  ESAIM P&S, vol. 12, n. 1, pp. 173-295, 2008 .

Samson A., Lavielle M., Mentré F.   "The SAEM algorithm for group comparison tests in longitudinal data analysis based on nonlinear mixed-effects model"  Statistics in Medicine, vol. 26, pp 4860-4875, 2007.

Lavielle M., Meza C.   "A Parameter Expansion version of the SAEM algorithm"  Statistics and Computing, vol. 17, pp 121-130, 2007.

Comets E., Verstuyft C., Lavielle M., Jaillon P., Becquemont L. and Mentré F. Modelling the influence of MDR1 polymorphism on digoxin pharmacokinetic parameters,  European Journal of Clinical Pharmacology, vol. 63, pp 437-449, 2007.

Lavielle M., Mentré F.   "Estimation of population pharmacokinetic parameters of saquinavir in HIV patients and covariate analysis with the SAEM algorithm implemented in MONOLIX"  Journal of Pharmacokinetics and Pharmacodynamics, vol. 34, n. 2, pp 229-249 2007.

Jaffrézic F., Meza C., Foulley J.L., Lavielle M.,   "The SAEM algorithm for the analysis of nonlinear traits in genetic studies"   Genetics Selection Evolution, vol. 38, pp. 583-600, 2006.

Samson A., Lavielle M., Mentré F.   "Extension of the SAEM algorithm to left-censored data in non-linear mixed-effects model: application to HIV dynamics model"  Computational Statistics and Data Analysis, vol. 51, pp. 1562-1574, 2006.

Lavielle M., Teyssière G.,   "Detection of Multiple Change-Points in multiple time-series."   Lithuanian Mathematical Journal, vol. 46, n. 4, 2006.

Donnet S., Lavielle M., Poline J.B.  "Are fMRI event related responses constant across events ?"  NeuroImage, vol. 31, n. 3, pp. 1169-1176, 2006.

Makowski D., Lavielle M., "Using SAEM to estimate parameters of models of response to applied fertilizer"  Journal of Agricultural, Biological, and Environmental Statistics, vol. 11, n. 1, pp. 45--60, 2006.

Loubes J.M., Maza E., Lavielle M., Rodriguez L. "Road trafficking description and short term travel time forecasting, with a classification method"  The Canadian Journal of Statistics, vol. 34, n. 3, 2006 .

Lavielle M., Lévy-Leduc C.,  "Semiparametric estimation of the frequency of unknown periodic functions. Application to laser vibrometry signals."  IEEE Trans. on Signal Processing, vol. 53, n. 7, pp. 2306--2314, 2005.

Lavielle M., "Using penalized contrasts for the change-point problem"  Signal Processing, vol. 85, n. 8, pp 1501-1510, 2005.

Kuhn E., Lavielle M.,  "Maximum likelihood estimation in nonlinear mixed effects models"  Computational Statistics and Data Analysis, vol. 49, No. 4, pp 1020-1038, 2005. Top Cited Article 2005-2010  Award

Biscay R., Lavielle M., Ludeña C.,  "Estimation of nonparametric autoregressive time series models under dynamical constraints"  Jour. of Time Series Anal., vol. 26, No. 3, pp. 371-397, 2005.

Picard F., Robin S., Lavielle M., Vaisse C., Daudin J.J.  "A Statistical approach for CGH microarray data analysis."  BMC Bioinformatics, vol 6, n 27, 2005.

Lavielle M., Teyssière G.,   "Adaptive Detection of Multiple Change-Points in Asset Price Volatility."   in   "Long-Memory in Economics", Springer Verlag, 2005.

Kuhn E., Lavielle M.,  "Coupling a stochastic approximation version of EM with a MCMC procedure"   ESAIM P&S, vol. 8, pp 115-131, 2004.

Tourneret J.Y., Doisy M., and Lavielle M., "Bayesian retrospective detection of multiple change-points corrupted by multiplicative noise. Application to SAR image edge detection", Signal Processing, vol. 83, pp 1871-1887, 2003.

Bellalah, Lavielle M.,  "A decomposition of empirical distributions with applications to the valuation of derivative assests",  Multinational Finance Journal, vol. 6, n° 2, pp. 99-130, 2002.

Bercu B., Gamboa F., and Lavielle M., "Estimation of the marginal and spectral modes"    Journal of Nonparametric Statistics, vol.14, n° 4, pp. 353--366, 2002

Lavielle M., and Lebarbier E."An application of MCMC methods to the multiple change-points problem," Signal Processing, vol. 81, pp. 39--53 , 2001.

Lavielle M. and  Ludeña C., ``The multiple change-points problem for the spectral distribution,''   Bernoulli, vol. 6,  n° 5, pp. 845--869, 2000. 

Bercu B., Gamboa F., and Lavielle M. , ``Sharp large deviations for Gaussian quadratic forms,'' ESAIM  P&S, vol. 4, pp. 1--24, 2000.

Lavielle M. and Moulines E. , `` Least Squares estimation of an unknown number of shifts in a time series, ''  Jour. of Time Series Anal. vol. 21, n° 1, pp. 33-59, 2000.

Lavielle M. and Marquez D., `` Gibbs sampling for parameters estimation and change-points detection in inverse problems. application to electromagnetic imaging,''   Signal Processing, vol. 78, pp 349--362 , 1999. 

Ludeña C. and Lavielle M., ``Some comments on the Whittle estimator for strongly dependent Gaussian fields,''  Scand. Jour. of Stat. , vol. 26, no. 3, pp. 433-450,  1999.

Lavielle M., ``Detection of multiple changes in a sequence of dependent variables,''   Stoch. Proc. and Appl., vol. 83, pp 79-102,  1999. 

Delyon B., Lavielle M., and Moulines E. , ``Convergence of a stochastic approximation version of the EM algorithm,' ' The Annals of Stat., vol. 27, no. 1, pp 94-128, 1999.

Cappé O., Doucet A., Lavielle M., and Moulines E., ``Methods for blind maximum-likelihood linear system identification,'' Signal Processing, vol. 73, pp. 3-25, 1999.

Lavielle M., ``Optimal segmentation of random processes,'' IEEE Trans. on Signal Processing, vol. 46, no. 5, pp. 1365-1373, 1998.

Lavielle M. and Moulines E., `` A simulated annealing version of the EM algorithm for non-Gaussian deconvolution, '' Statistics and Computation, vol. 7, no. 4, pp. 229-236, 1997.

Lavielle M. and Moulines E. , `` Quelques exemples de problèmes inverses en statistique et en traitement du signal,'' Revue de Statistique Appliquée, vol. XLV, no. 4, pp. 5-38, 1997.

Lavielle M., ``Discussion of Meng and Van Dyk's paper: The EM algorithm - An old folk song sung to a fast new tune,'' J. R. Statist. Soc. B, vol. 59, no. 3, pp. 556--557, 1997.

Lavielle M. and Moulines E. , `` Détection de ruptures multiples dans la moyenne d'un processus aléatoire, '' note C.R. Acad. Sci. Paris, vol. 324-I, pp. 239--243, 1997.

Biscay R., Lavielle M., Gonzalez A., Clark I., and Valdés P., ``Maximum a posteriori estimation of change points in the EEG,'' Int. J. of Bio-Medical Computing, vol. 38, pp. 189-196, 1995.

Lavielle M., ``A stochastic procedure for parametric and non-parametric estimation in the case of incomplete data ,'' Signal Processing, vol. 42, pp. 3-17, 1995.

Lavielle M., Moulines E. and Cardoso J.F. , ``Un algorithme d'identification par maximum de vraisemblance pour des données incomplètes,'' note C.R. Acad. Sci. Paris, vol. 320-I, pp. 363-368, 1995.

Gamboa F. and Lavielle M., `` On 2-D spectral realization,'' IEEE Tr. on Info. Theory, vol. 40, no. 5, pp. 742-749, 1994.

Lavielle M., ``Detection of changes in the spectrum of a multidimensional process,'' IEEE Tr. on Sig. Proc., vol. 41, no. 2, pp. 742-749, 1993.

Lavielle M., ``Bayesian deconvolution of Bernoulli-Gaussian processes,'' Signal Processing, vol. 33, pp. 67-79, 1993.

Lavielle M.,  ``2-D Bayesian deconvolution,'' Geophysics, vol. 56, no. 12, pp. 2008-2018, 1991.