Marc Lavielle

Publication Activity (10 Years)

Years Active: 1993-2022
Publications (10 Years): 6

Top Topics

Maximum Likelihood

Global Convergence

Top Venues

Comput. Stat. Data Anal.

Publications

Marc Lavielle
Using hospital data for monitoring the dynamics of COVID-19 in France. J. Data Sci. Stat. Vis. 2 (7) (2022)
Wei Jiang, Julie Josse, Marc Lavielle, TraumaBase Group
Logistic regression with missing covariates - Parameter estimation, model selection and prediction within a joint-modeling framework. Comput. Stat. Data Anal. 145 (2020)
Belhal Karimi, Marc Lavielle, Eric Moulines
f-SAEM: A fast stochastic approximation of the EM algorithm for nonlinear mixed effects models. Comput. Stat. Data Anal. 141 (2020)
Aline Marguet, Marc Lavielle, Eugenio Cinquemani
Inheritance and variability of kinetic gene expression parameters in microbial cells: modeling and inference from lineage tree data. Bioinform. 35 (14) (2019)
Belhal Karimi, Hoi-To Wai, Eric Moulines, Marc Lavielle
On the Global Convergence of (Fast) Incremental Expectation Maximization Methods. NeurIPS (2019)
Belhal Karimi, Hoi-To Wai, Eric Moulines, Marc Lavielle
On the Global Convergence of (Fast) Incremental Expectation Maximization Methods. CoRR (2019)
Marc Lavielle, Cyprien Mbogning
An improved SAEM algorithm for maximum likelihood estimation in mixtures of non linear mixed effects models. Stat. Comput. 24 (5) (2014)
Maud Delattre, Marc Lavielle
Maximum likelihood estimation in discrete mixed hidden Markov models using the SAEM algorithm. Comput. Stat. Data Anal. 56 (6) (2012)
Merlin Keller, Marc Lavielle, Matthieu Perrot, Alexis Roche
Anatomically Informed Bayesian Model Selection for fMRI Group Data Analysis. MICCAI (1) (2009)
Marc Lavielle, Cristian Meza
A parameter expansion version of the SAEM algorithm. Stat. Comput. 17 (2) (2007)
Sophie Donnet, Marc Lavielle, Jean-Baptiste Poline
Are fMRI event-related response constant in time? A model selection answer. NeuroImage 31 (3) (2006)
Adeline Samson, Marc Lavielle, France Mentré
Extension of the SAEM algorithm to left-censored data in nonlinear mixed-effects model: Application to HIV dynamics model. Comput. Stat. Data Anal. 51 (3) (2006)
Estelle Kuhn, Marc Lavielle
Maximum likelihood estimation in nonlinear mixed effects models. Comput. Stat. Data Anal. 49 (4) (2005)
Mohamed Sahmoudi, Karim Abed-Meraim, Marc Lavielle, Estelle Kuhn, Philippe Ciblat
Blind source separation of noisy mixtures using a semi-parametric approach with application to heavy-tailed signals. EUSIPCO (2005)
Marc Lavielle, Céline Lévy-Leduc
Semiparametric estimation of the frequency of unknown periodic functions and its application to laser vibrometry signals. IEEE Trans. Signal Process. 53 (7) (2005)
Franck Picard, Stéphane Robin, Marc Lavielle, Christian Vaisse, Jean-Jacques Daudin
A statistical approach for array CGH data analysis. BMC Bioinform. 6 (2005)
Marc Lavielle
Using penalized contrasts for the change-point problem. Signal Process. 85 (8) (2005)
Sophie Donnet, Marc Lavielle, Philippe Ciuciu, Jean-Baptiste Poline
Selection of Temporal Models for Event-Related fMRI. ISBI (2004)
Jean-Yves Tourneret, Michel Doisy, Marc Lavielle
Bayesian off-line detection of multiple change-points corrupted by multiplicative noise: application to SAR image edge detection. Signal Process. 83 (9) (2003)
Marc Lavielle, E. Lebarbier
An application of MCMC methods for the multiple change-points problem. Signal Process. 81 (1) (2001)
Olivier Cappé, Arnaud Doucet, Marc Lavielle, Eric Moulines
Simulation-based methods for blind maximum-likelihood filter identification. Signal Process. 73 (1-2) (1999)
Marc Lavielle, D. Marquez
Gibbs sampling for parameters estimation and change-points detection in inverse problems. Application to electromagnetic imaging. Signal Process. 78 (3) (1999)
Marc Lavielle
Optimal segmentation of random processes. IEEE Trans. Signal Process. 46 (5) (1998)
Marc Lavielle, Eric Moulines
A simulated annealing version of the EM algorithm for non-Gaussian deconvolution. Stat. Comput. 7 (4) (1997)
Marc Lavielle
A stochastic algorithm for parametric and non-parametric estimation in the case of incomplete data. Signal Process. 42 (1) (1995)
Fabrice Gamboa, Marc Lavielle
On two-dimensional spectral realization. IEEE Trans. Inf. Theory 40 (5) (1994)
Marc Lavielle
Bayesian deconvolution of Bernoulli-Gaussian processes. Signal Process. 33 (1) (1993)
Marc Lavielle
Detection of changes in the spectrum of a multidimensional process. IEEE Trans. Signal Process. 41 (2) (1993)