Statistical inference for piecewise-deterministic Markov processes
ISTE – Wiley, 2018
Romain Azaïs, Florian Bouguet (eds.)
[ISTE] [Wiley] [hal]
This book includes the following original chapters:
Rupture detection in fatigue crack propagation
Romain Azaïs, Anne Gégout-Petit, Florine Greciet
[hal]
Level crossings and absorption of an insurance model
Romain Azaïs, Alexandre Genadot
[hal]
Chapters
Construction d’estimateurs pour les processus markoviens déterministes par morceaux Informatique fondamentale et ses mathématiques – Une photographie en 2024 (sous la direction de Benoît Delahaye et Didier Lime), CNRS Editions
Romain Azaïs
[chapter:hal] [book:CNRS]
Estimation of piecewise-deterministic trajectories in a quantum optics scenario
Statistical Topics and Stochastic Models for Dependent Data with Applications (edited by Vlad Stefan Barbu and Nicolas Vergne), ISTE – Wiley, 2020
Bruno Leggio, Romain Azaïs
[chapter:hal] [book:ISTE] [book:Wiley]
Papers
Maximum likelihood estimation for spinal-structured trees To appear in Journal of Applied Probability, 2025
Romain Azaïs, Benoît Henry
[journal] [arXiv] [hal]
Detection of common subtrees with identical label distribution
Theoretical Computer Science, 2024
Romain Azaïs, Florian Ingels
[journal] [arXiv] [hal]
Characterization of random walks on space of unordered trees using efficient metric simulation Discrete Applied Mathematics, 2023
Farah Ben Naoum, Christophe Godin, Romain Azaïs
[journal] [arXiv] [hal]
cvmgof: an R package for Cramér-von Mises goodness-of-fit tests in regression models
Journal of Statistical Computing and Simulation, 2022
Romain Azaïs, Sandie Ferrigno, Marie-José Martinez
[journal] [hal]
Isomorphic unordered labeled trees up to substitution ciphering IWOCA, 2021 Florian Ingels, Romain Azaïs [journal] [arXiv] [hal]
Temporal integration of auxin information for the regulation of patterning
eLife, 2020
Carlos Samuel Galvan-Ampudia, Guillaume Cerutti, et al.
[journal] [bioRxiv] [hal]
The weight function in the subtree kernel is decisive
Journal of Machine Learning Research, 2020
Romain Azaïs, Florian Ingels
[journal] [arXiv] [hal]
SPONGE: software-defined traffic engineering to absorb influx of network traffic
IEEE Local Computer Networks, 2019
Benoît Henry, Shihabur Rahman Chowdhury, Abdelkader Lahmadi, Romain Azaïs, Jérôme François, Raouf Boutaba
[hal]
Approximation of trees by self-nested trees
ALENEX, 2019
Romain Azaïs, Jean-Baptiste Durand, Christophe Godin
[journal] [arXiv] [hal]
Nearest embedded and embedding self-nested trees
Algorithms (Special Issue Data Compression Algorithms and their Applications), 2019
Romain Azaïs
[journal] [arXiv] [hal]
treex: a Python package for manipulating rooted trees
Journal of Open Source Software, 2019
Romain Azaïs, Guillaume Cerutti, Didier Gemmerlé, Florian Ingels
[journal] [hal]
Inference for conditioned Galton-Watson trees from their Harris path
Latin American Journal of Probability and Mathematical Statistics, 2019
Romain Azaïs, Alexandre Genadot, Benoît Henry
[journal] [arXiv] [hal]
Estimation of the average number of continuous crossings for non-stationary non-diffusion processes
Journal of Statistical Planning and Inference, 2019
Romain Azaïs, Alexandre Genadot
[journal] [arXiv] [hal]
Integral estimation based on Markovian design
Advances in Applied Probability, 2018
Romain Azaïs, Bernard Delyon, François Portier
[journal] [arXiv] [hal]
A new characterization of the jump rate for piecewise-deterministic Markov processes with discrete transitions
Communications in Statistics – Theory and Methods, 2018
Romain Azaïs, Alexandre Genadot
[journal] [arXiv] [hal]
Optimal choice among a class of nonparametric estimators of the jump rate for piecewise-deterministic Markov processes
Electronic Journal of Statistics, 2016
Romain Azaïs, Aurélie Muller-Gueudin
[journal] [arXiv] [hal]
Stochastic modelling and prediction of fatigue crack propagation using piecewise-deterministic Markov processes
Journal of Risk and Reliability, 2016
Anis Ben Abdessalem, Romain Azaïs, Marie Touzet-Cortina, Anne Gégout-Petit, Monique Puiggali
[journal] [hal]
Semi-parametric inference for the absorption features of a growth-fragmentation model
TEST, 2015
Romain Azaïs, Alexandre Genadot
[journal] [arXiv] [hal]
Nonparametric estimation of the conditional distribution of the inter-jumping times for piecewise-deterministic Markov processes
Scandinavian Journal of Statistics, 2014
Romain Azaïs, François Dufour, Anne Gégout-Petit
[journal] [arXiv] [hal]
A hidden renewal model for monitoring aquatic systems biosensors
Environmetrics, 2014
Romain Azaïs, Raphaël Coudret, Gilles Durrieu
[journal] [hal]
A recursive nonparametric estimator for the transition kernel of a piecewise-deterministic Markov process
ESAIM: Probability and Statistics, 2014
Romain Azaïs
[journal] [arXiv] [hal]
Nonparametric estimation of the jump rate for nonhomogeneous marked renewal processes
Annales de l’Institut Henri Poincaré – Probabilités et Statistiques, 2013
Romain Azaïs, François Dufour, Anne Gégout-Petit
[journal] [arXiv] [hal]
Optimal quantization applied to sliced inverse regression
Journal of Statistical Planning and Inference, 2012
Romain Azaïs, Anne Gégout-Petit, Jérôme Saracco
[journal] [arXiv] [hal]
Extended abstracts
Exploring symmetries in plant architectures
FSPM, 2023
Romain Azaïs, Salaheddine Habibeche, Farah Ben Naoum, Christophe Godin
[journal] [hal]
Transferring PointNet++ segmentation from virtual to real plants CVPPA, 2021 Ayan Chaudhury, Peter Hanappe, Romain Azaïs, Christophe Godin, David Colliaux
[journal] [hal]
Theses
Algorithmic approach to statistics: piecewise-deterministic processes and random trees
Habilitation thesis, defended at ENS de Lyon on December 2nd 2022
[tel] [slides]
Nonparametric estimation for piecewise-deterministic Markov processes
PhD thesis, defended at Université Bordeaux 1 on July 1st 2013
[tel] [slides]
