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Anatomically Informed Bayesian Model Selection for fMRI Group Data Analysis.

M. Keller, M. Lavielle, M. Perrot, and A. Roche. MICCAI (1), volume 5762 of Lecture Notes in Computer Science, page 450-457. Springer, (2009)

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To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Dominic Marcello

Dipl.-Ing. Marc Riedlinger

An adaptive self-managing platform for cabin management systemsM. Riedlinger, O. Marquardt, R. Ahmadi, and R. Reichel. CEAS Aeronautical Journal, 7 (3): 483--498 (2016)

An adaptive self-managing platform for cabin management systemsM. Riedlinger, O. Marquardt, R. Ahmadi, and R. Reichel. CEAS Aeronautical Journal, 7 (3): 483--498 (2016)DIANA - Technologien für eine Energie-autarke, intelligente Kabine: Selbstadaptive Kabinenelektronik Plattform : Schlussbericht :M. Riedlinger, and R. Reichel. (2015)An adaptive middleware approach for fault-tolerant avionic systemsO. Marquardt, M. Riedlinger, R. Ahmadi, and R. Reichel. 2015 IEEE Aerospace Conference, Institute of Electrical and Electronics Engineers (IEEE), (March 2015)

Marc Gauger University of Stuttgart

Marc Schneider University of Stuttgart

Marc Bresser University of Stuttgart

Other publications of authors with the same name

A parameter expansion version of the SAEM algorithm.M. Lavielle, and C. Meza. Statistics and Computing, 17 (2): 121-130 (2007)Blind source separation of noisy mixtures using a semi-parametric approach with application to heavy-tailed signals.M. Sahmoudi, K. Abed-Meraim, M. Lavielle, E. Kuhn, and P. Ciblat. EUSIPCO, page 1-4. IEEE, (2005)An application of MCMC methods for the multiple change-points problem.M. Lavielle, and E. Lebarbier. Signal Processing, 81 (1): 39-53 (2001)Simulation-based methods for blind maximum-likelihood filter identification.O. Cappé, A. Doucet, M. Lavielle, and E. Moulines. Signal Processing, 73 (1-2): 3-25 (1999)Maximum likelihood estimation in discrete mixed hidden Markov models using the SAEM algorithm.M. Delattre, and M. Lavielle. Computational Statistics & Data Analysis, 56 (6): 2073-2085 (2012)Extension of the SAEM algorithm to left-censored data in nonlinear mixed-effects model: Application to HIV dynamics model.A. Samson, M. Lavielle, and F. Mentré. Computational Statistics & Data Analysis, 51 (3): 1562-1574 (2006)Maximum likelihood estimation in nonlinear mixed effects models.E. Kuhn, and M. Lavielle. Computational Statistics & Data Analysis, 49 (4): 1020-1038 (2005)f-SAEM: A fast stochastic approximation of the EM algorithm for nonlinear mixed effects models.B. Karimi, M. Lavielle, and E. Moulines. Computational Statistics & Data Analysis, (2020)Gibbs sampling for parameters estimation and change-points detection in inverse problems. Application to electromagnetic imaging.M. Lavielle, and D. Marquez. Signal Processing, 78 (3): 349-362 (1999)Semiparametric estimation of the frequency of unknown periodic functions and its application to laser vibrometry signals.M. Lavielle, and C. Lévy-Leduc. IEEE Trans. Signal Processing, 53 (7): 2306-2314 (2005)