Maud Delattre

According to our database, Maud Delattre authored at least 7 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Correction to: Bayesian high-dimensional covariate selection in non-linear mixed-effects models using the SAEM algorithm.

Marion Naveau, Guillaume Kon Kam King, Renaud Rincent, Laure Sansonnet, Maud Delattre

Stat. Comput., June, 2024

Bayesian high-dimensional covariate selection in non-linear mixed-effects models using the SAEM algorithm.

Marion Naveau, Guillaume Kon Kam King, Renaud Rincent, Laure Sansonnet, Maud Delattre

Stat. Comput., February, 2024

Modeling soybean growth: A mixed model approach.

Maud Delattre, Yusuke Toda, Jessica Tressou, Hiroyoshi Iwata

PLoS Comput. Biol., 2024

2023

Efficient preconditioned stochastic gradient descent for estimation in latent variable models.

Charlotte Baey, Maud Delattre, Estelle Kuhn, Jean-Benoist Leger, Sarah Lemler

Proceedings of the International Conference on Machine Learning, 2023

2021

Inference for partially observed epidemic dynamics guided by Kalman filtering techniques.

Romain Narci, Maud Delattre, Catherine Larédo, Elisabeta Vergu

Comput. Stat. Data Anal., 2021

2014

Two-dimensional segmentation for analyzing Hi-C data.

Céline Lévy-Leduc, Maud Delattre, Tristan Mary-Huard, Stéphane Robin

Bioinform., 2014

2012

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

Maud Delattre, Marc Lavielle

Comput. Stat. Data Anal., 2012