Romain Azaïs

Publications

Preprints

• Macroscopic activity-based modeling of urban active mobility
  Romain Azaïs, Adrien Marion, Florian Patout
  
• Asymptotic analysis and practical evaluation of jump rate estimators in piecewise-deterministic Markov processes
  Romain Azaïs, Solune Denis
  

Edited book

• Statistical inference for piecewise-deterministic Markov processes
  ISTE - Wiley, 2018
  Romain Azaïs, Florian Bouguet (eds.)
  

  This book includes the following original chapters:

  • Rupture detection in fatigue crack propagation
    Romain Azaïs, Anne Gégout-Petit, Florine Greciet
    
  • Level crossings and absorption of an insurance model
    Romain Azaïs, Alexandre Genadot
    

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
  
• 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
  

Main papers

• Conserved mechanical hallmark guides four-way junction avoidance during plant cytokinesis
  Current Biology, 2025
  Elsa Gascon, Camila Goldy, et al.
  
• Maximum likelihood estimation for spinal-structured trees
  Journal of Applied Probability, 2025
  Romain Azaïs, Benoît Henry
  
• Detection of common subtrees with identical label distribution
  Theoretical Computer Science, 2024
  Romain Azaïs, Florian Ingels
  
• Characterization of random walks on space of unordered trees using efficient metric simulation
  Discrete Applied Mathematics, 2023
  Farah Ben Naoum, Christophe Godin, Romain Azaïs
  
• Enumeration of irredundant forests
  Theoretical Computer Science, 2022
  Florian Ingels, Romain Azaïs
  
• 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
  
• Isomorphic unordered labeled trees up to substitution ciphering
  IWOCA, 2021
  Florian Ingels, Romain Azaïs
  
• Temporal integration of auxin information for the regulation of patterning
  eLife, 2020
  Carlos Samuel Galvan-Ampudia, Guillaume Cerutti, et al.
  
• The weight function in the subtree kernel is decisive
  Journal of Machine Learning Research, 2020
  Romain Azaïs, Florian Ingels
  
• 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
  
• Approximation of trees by self-nested trees
  ALENEX, 2019
  Romain Azaïs, Jean-Baptiste Durand, Christophe Godin
  
• Nearest embedded and embedding self-nested trees
  Algorithms (Special Issue Data Compression Algorithms and their Applications), 2019
  Romain Azaïs
  
• treex: a Python package for manipulating rooted trees
  Journal of Open Source Software, 2019
  Romain Azaïs, Guillaume Cerutti, Didier Gemmerlé, Florian Ingels
  
• 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
  
• 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
  
• Integral estimation based on Markovian design
  Advances in Applied Probability, 2018
  Romain Azaïs, Bernard Delyon, François Portier
  
• 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
  
• 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
  
• 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
  
• Semi-parametric inference for the absorption features of a growth-fragmentation model
  TEST, 2015
  Romain Azaïs, Alexandre Genadot
  
• 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
  
• Piecewise deterministic Markov process - recent results
  ESAIM: Proceedings and Surveys, 2014
  Romain Azaïs, Jean-Baptiste Bardet, Alexandre Genadot, Nathalie Krell, Pierre-André Zitt
  
• A hidden renewal model for monitoring aquatic systems biosensors
  Environmetrics, 2014
  Romain Azaïs, Raphaël Coudret, Gilles Durrieu
  
• A recursive nonparametric estimator for the transition kernel of a piecewise-deterministic Markov process
  ESAIM: Probability and Statistics, 2014
  Romain Azaïs
  
• 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
  
• Optimal quantization applied to sliced inverse regression
  Journal of Statistical Planning and Inference, 2012
  Romain Azaïs, Anne Gégout-Petit, Jérôme Saracco
  

Extended abstracts

• Exploring symmetries in plant architectures
  FSPM, 2023
  Romain Azaïs, Salaheddine Habibeche, Farah Ben Naoum, Christophe Godin
  
• Transferring PointNet++ segmentation from virtual to real plants
  CVPPA, 2021
  Ayan Chaudhury, Peter Hanappe, Romain Azaïs, Christophe Godin, David Colliaux
  

Theses

• Algorithmic approach to statistics: piecewise-deterministic processes and random trees
  Habilitation thesis, defended at ENS de Lyon on December 2nd 2022
  
• Nonparametric estimation for piecewise-deterministic Markov processes
  PhD thesis, defended at Université Bordeaux 1 on July 1st 2013