According to our database1, Marc Lavielle authored at least 19 papers between 1993 and 2014.
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An improved SAEM algorithm for maximum likelihood estimation in mixtures of non linear mixed effects models.
Statistics and Computing, 2014
Maximum likelihood estimation in discrete mixed hidden Markov models using the SAEM algorithm.
Computational Statistics & Data Analysis, 2012
Anatomically Informed Bayesian Model Selection for fMRI Group Data Analysis.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009
A parameter expansion version of the SAEM algorithm.
Statistics and Computing, 2007
Are fMRI event-related response constant in time? A model selection answer.
Extension of the SAEM algorithm to left-censored data in nonlinear mixed-effects model: Application to HIV dynamics model.
Computational Statistics & Data Analysis, 2006
Semiparametric estimation of the frequency of unknown periodic functions and its application to laser vibrometry signals.
IEEE Trans. Signal Processing, 2005
Using penalized contrasts for the change-point problem.
Signal Processing, 2005
A statistical approach for array CGH data analysis.
BMC Bioinformatics, 2005
Selection of Temporal Models for Event-Related fMRI.
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004
Bayesian off-line detection of multiple change-points corrupted by multiplicative noise: application to SAR image edge detection.
Signal Processing, 2003
An application of MCMC methods for the multiple change-points problem.
Signal Processing, 2001
Gibbs sampling for parameters estimation and change-points detection in inverse problems. Application to electromagnetic imaging.
Signal Processing, 1999
Simulation-based methods for blind maximum-likelihood filter identification.
Signal Processing, 1999
Optimal segmentation of random processes.
IEEE Trans. Signal Processing, 1998
A simulated annealing version of the EM algorithm for non-Gaussian deconvolution.
Statistics and Computing, 1997
A stochastic algorithm for parametric and non-parametric estimation in the case of incomplete data.
Signal Processing, 1995
Detection of changes in the spectrum of a multidimensional process.
IEEE Trans. Signal Processing, 1993
Bayesian deconvolution of Bernoulli-Gaussian processes.
Signal Processing, 1993