Florian Maire

Model comparison for Gibbs random fields using noisy reversible jump Markov chain Monte Carlo

Nial Friel, Lampros Bouranis, Florian Maire, 2017, Comput. Stat. Data Anal..

Computationally efficient inference for latent position network models

Nial Friel, Florian Maire, Riccardo Rastelli, 2018, 1804.02274.

On the use of Markov chain Monte Carlo methods for the sampling of mixture models: a statistical perspective

Randal Douc, Jimmy Olsson, Florian Maire, 2015, Stat. Comput..

Detecting Aircraft in Low-Resolution Multispectral Images: Specification of Relevant IR Wavelength Bands

Florian Maire, Sidonie Lefebvre, 2015, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Planning & acting: Optimal Markov decision scheduling of aggregated data in WSNs by genetic algorithm

John Murphy, Soufiene Djahel, Imane Horiya Brahmi, 2015, 2015 IEEE 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC).

Partial Ordering of Inhomogeneous Markov Chains with Applications to Markov Chain Monte Carlo Methods

Jimmy Olsson, Randal Douc, Florian Maire, 2013 .

Online EM for functional data

Eric Moulines, Florian Maire, Sidonie Lefebvre, 2016, Comput. Stat. Data Anal..

Informed sub-sampling MCMC: approximate Bayesian inference for large datasets

Pierre Alquier, Nial Friel, Florian Maire, 2017, Stat. Comput..

Efficient Bayesian inference for exponential random graph models by correcting the pseudo-posterior distribution

Nial Friel, Lampros Bouranis, Florian Maire, 2015, Soc. Networks.

Metastability in molecular dynamics and Bayesian inference methods

Florian Maire, 2018 .

Bayesian Model Selection for Exponential Random Graph Models via Adjusted Pseudolikelihoods

Nial Friel, Lampros Bouranis, Florian Maire, 2017, Journal of Computational and Graphical Statistics.

Detecting aircraft with a low resolution infrared sensor

Eric Moulines, Jérémie Jakubowicz, Florian Maire, 2010, 2010 IEEE International Geoscience and Remote Sensing Symposium.

Statistical models for deformable templates in image and shape analysis

Stéphanie Allassonnière, Jérémie Bigot, Florian Maire, 2013 .

Adaptive Incremental Mixture Markov Chain Monte Carlo

Adrian E. Raftery, Nial Friel, Florian Maire, 2016, Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America.

An online learning algorithm for mixture models of deformable templates

Eric Moulines, Randal Douc, Florian Maire, 2012, 2012 IEEE International Workshop on Machine Learning for Signal Processing.