Romain Azaïs
Romain Azaïs
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Cited by
Temporal integration of auxin information for the regulation of patterning
CS Galvan-Ampudia, G Cerutti, J Legrand, G Brunoud, R Martin-Arevalillo, ...
Elife 9, e55832, 2020
Piecewise deterministic Markov process—recent results
R Azaïs, JB Bardet, A Génadot, N Krell, PA Zitt
Esaim: Proceedings 44, 276-290, 2014
Stochastic modelling and prediction of fatigue crack propagation using piecewise-deterministic Markov processes
A Ben Abdessalem, R Azaïs, M Touzet-Cortina, A Gégout-Petit, ...
Proceedings of the Institution of Mechanical Engineers, Part O: Journal of …, 2016
Non‐parametric estimation of the conditional distribution of the interjumping times for piecewise‐deterministic Markov processes
R Azaïs, F Dufour, A Gégout‐Petit
Scandinavian Journal of Statistics 41 (4), 950-969, 2014
Optimal quantization applied to sliced inverse regression
R Azaïs, A Gégout-Petit, J Saracco
Journal of Statistical Planning and Inference 142 (2), 481-492, 2012
A hidden renewal model for monitoring aquatic systems biosensors
R Azaïs, R Coudret, G Durrieu
Environmetrics 25 (3), 189-199, 2014
Nonparametric estimation of the jump rate for non-homogeneous marked renewal processes
R Azaïs, F Dufour, A Gégout-Petit
Annales de l'IHP Probabilités et statistiques 49 (4), 1204-1231, 2013
A recursive nonparametric estimator for the transition kernel of a piecewise-deterministic Markov process∗
R Azaïs
ESAIM: Probability and Statistics 18, 726-749, 2014
Optimal choice among a class of nonparametric estimators of the jump rate for piecewise-deterministic Markov processes
R Azaïs, A Muller-Guedin
Electronic Journal of Statistics 10, 3648-3692, 2016
The weight function in the subtree kernel is decisive
R Azaïs, F Ingels
Journal of Machine Learning Research 21, 2020
Treex: a Python package for manipulating rooted trees
R Azaïs, G Cerutti, D Gemmerlé, F Ingels
Journal of Open Source Software 4 (38), 1351, 2019
Semi-parametric inference for the absorption features of a growth-fragmentation model
R Azaïs, A Genadot
Test 24 (2), 341-360, 2015
Approximation of trees by self-nested trees
R Azaïs, JB Durand, C Godin
2019 proceedings of the twenty-first workshop on algorithm engineering and …, 2019
Inference for conditioned Galton-Watson trees from their Harris path
R Azaïs, A Genadot, B Henry
Latin American Journal of Probability and Mathematical Statistics 16, 561-604, 2016
Transferring PointNet++ segmentation from virtual to real plants
A Chaudhury, P Hanappe, R Azaïs, C Godin, D Colliaux
ICCV 2021-International Conference on Computer Vision, 1-3, 2021
Integral estimation based on Markovian design
R Azaïs, B Delyon, F Portier
Advances in Applied Probability 50 (3), 833-857, 2018
Statistical Inference for Piecewise-deterministic Markov Processes
R Azais, F Bouguet
John Wiley & Sons, 2018
Estimation, simulation et prévision d’un modèle de propagation de fissures par des processus markoviens déterministes par morceaux
R Azaïs, C Elegbede, A Gégout-Petit, M Touzet
17ème Congrès Lambda-Mu, La Rochelle (France) 47, 2010
Nearest embedded and embedding self-nested trees
R Azaïs
Algorithms 12 (9), 180, 2019
Optimal choice among a class of nonparametric estimators of the jump rate for piecewise-deterministic Markov processes
R Azaıs, A Muller-Gueudin
Electronic Journal of Statistics 4 (10), 3648-3692, 2016
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