# Marc Lavielle

According to our database

^{1}, Marc Lavielle## Timeline

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Book In proceedings Article PhD thesis Other## Links

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## Bibliography

2014

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

Statistics and Computing, 2014

2012

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

Computational Statistics & Data Analysis, 2012

2009

Anatomically Informed Bayesian Model Selection for fMRI Group Data Analysis.

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

2007

A parameter expansion version of the SAEM algorithm.

Statistics and Computing, 2007

2006

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

Computational Statistics & Data Analysis, 2006

2005

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

2004

Selection of Temporal Models for Event-Related fMRI.

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.

Signal Processing, 2003

2001

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

Signal Processing, 2001

1999

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

1998

Optimal segmentation of random processes.

IEEE Trans. Signal Processing, 1998

1997

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

Statistics and Computing, 1997

1995

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

Signal Processing, 1995

1993

Detection of changes in the spectrum of a multidimensional process.

IEEE Trans. Signal Processing, 1993

Bayesian deconvolution of Bernoulli-Gaussian processes.

Signal Processing, 1993