Marc Lavielle

According to our database, Marc Lavielle authored at least 27 papers between 1993 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Using hospital data for monitoring the dynamics of COVID-19 in France.

Marc Lavielle

J. Data Sci. Stat. Vis., 2022

2020

f-SAEM: A fast stochastic approximation of the EM algorithm for nonlinear mixed effects models.

Belhal Karimi, Marc Lavielle, Eric Moulines

Comput. Stat. Data Anal., 2020

Logistic regression with missing covariates - Parameter estimation, model selection and prediction within a joint-modeling framework.

Wei Jiang, Julie Josse, Marc Lavielle, TraumaBase Group

Comput. Stat. Data Anal., 2020

2019

Inheritance and variability of kinetic gene expression parameters in microbial cells: modeling and inference from lineage tree data.

Aline Marguet, Marc Lavielle, Eugenio Cinquemani

Bioinform., 2019

On the Global Convergence of (Fast) Incremental Expectation Maximization Methods.

Belhal Karimi, Hoi-To Wai, Eric Moulines, Marc Lavielle

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2014

An improved SAEM algorithm for maximum likelihood estimation in mixtures of non linear mixed effects models.

Marc Lavielle, Cyprien Mbogning

Stat. Comput., 2014

2012

Maximum likelihood estimation in discrete mixed hidden Markov models using the SAEM algorithm.

Maud Delattre, Marc Lavielle

Comput. Stat. Data Anal., 2012

2009

Anatomically Informed Bayesian Model Selection for fMRI Group Data Analysis.

Merlin Keller, Marc Lavielle, Matthieu Perrot, Alexis Roche

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

2007

A parameter expansion version of the SAEM algorithm.

Marc Lavielle, Cristian Meza

Stat. Comput., 2007

2006

Are fMRI event-related response constant in time? A model selection answer.

Sophie Donnet, Marc Lavielle, Jean-Baptiste Poline

NeuroImage, 2006

Extension of the SAEM algorithm to left-censored data in nonlinear mixed-effects model: Application to HIV dynamics model.

Adeline Samson, Marc Lavielle, France Mentré

Comput. Stat. Data Anal., 2006

2005

Semiparametric estimation of the frequency of unknown periodic functions and its application to laser vibrometry signals.

Marc Lavielle, Céline Lévy-Leduc

IEEE Trans. Signal Process., 2005

Using penalized contrasts for the change-point problem.

Marc Lavielle

Signal Process., 2005

Maximum likelihood estimation in nonlinear mixed effects models.

Estelle Kuhn, Marc Lavielle

Comput. Stat. Data Anal., 2005

A statistical approach for array CGH data analysis.

Franck Picard, Stéphane Robin, Marc Lavielle, Christian Vaisse, Jean-Jacques Daudin

BMC Bioinform., 2005

Blind source separation of noisy mixtures using a semi-parametric approach with application to heavy-tailed signals.

Mohamed Sahmoudi, Karim Abed-Meraim, Marc Lavielle, Estelle Kuhn, Philippe Ciblat

Proceedings of the 13th European Signal Processing Conference, 2005

2004

Selection of Temporal Models for Event-Related fMRI.

Sophie Donnet, Marc Lavielle, Philippe Ciuciu, Jean-Baptiste Poline

Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004

2003

Bayesian off-line detection of multiple change-points corrupted by multiplicative noise: application to SAR image edge detection.

Jean-Yves Tourneret, Michel Doisy, Marc Lavielle

Signal Process., 2003

2001

An application of MCMC methods for the multiple change-points problem.

Marc Lavielle, E. Lebarbier

Signal Process., 2001

1999

Gibbs sampling for parameters estimation and change-points detection in inverse problems. Application to electromagnetic imaging.

Marc Lavielle, D. Marquez

Signal Process., 1999

Simulation-based methods for blind maximum-likelihood filter identification.

Olivier Cappé, Arnaud Doucet, Marc Lavielle, Eric Moulines

Signal Process., 1999

1998

Optimal segmentation of random processes.

Marc Lavielle

IEEE Trans. Signal Process., 1998

1997

A simulated annealing version of the EM algorithm for non-Gaussian deconvolution.

Marc Lavielle, Eric Moulines

Stat. Comput., 1997

1995

A stochastic algorithm for parametric and non-parametric estimation in the case of incomplete data.

Marc Lavielle

Signal Process., 1995

1994

On two-dimensional spectral realization.

Fabrice Gamboa, Marc Lavielle

IEEE Trans. Inf. Theory, 1994

1993

Detection of changes in the spectrum of a multidimensional process.

Marc Lavielle

IEEE Trans. Signal Process., 1993

Bayesian deconvolution of Bernoulli-Gaussian processes.

Marc Lavielle

Signal Process., 1993