Some parameter estimation issues in functional-structural plant modelling PH Cournede, V Letort, A Mathieu, MZ Kang, S Lemaire, S Trevezas, ... Mathematical Modelling of Natural Phenomena 6 (2), 133-159, 2011 | 45 | 2011 |

A sequential Monte Carlo approach for MLE in a plant growth model S Trevezas, PH Cournède Journal of Agricultural, Biological, and Environmental Statistics 18 (2 …, 2013 | 18 | 2013 |

Exact MLE and asymptotic properties for nonparametric semi-Markov models S Trevezas, N Limnios Journal of Nonparametric Statistics 23 (3), 719-739, 2011 | 18 | 2011 |

Maximum likelihood estimation for general hidden semi-Markov processes with backward recurrence time dependence S Trevezas, N Limnios Journal of Mathematical Sciences 163 (3), 262, 2009 | 12 | 2009 |

Variance estimation in the central limit theorem for Markov chains S Trevezas, N Limnios Journal of Statistical Planning and Inference 139 (7), 2242-2253, 2009 | 12 | 2009 |

Parameter estimation via stochastic variants of the ECM algorithm with applications to plant growth modeling S Trevezas, S Malefaki, PH Cournède Computational Statistics & Data Analysis 78, 82-99, 2014 | 11* | 2014 |

A non linear mixed effects model of plant growth and estimation via stochastic variants of the em algorithm C Baey, S Trevezas, PH Cournède Communications in Statistics-Theory and Methods 45 (6), 1643-1669, 2016 | 9 | 2016 |

An EM and a stochastic version of the EM algorithm for nonparametric Hidden semi-Markov models S Malefaki, S Trevezas, N Limnios Communications in Statistics—Simulation and Computation® 39 (2), 240-261, 2010 | 9 | 2010 |

Mixed-effects estimation in dynamic models of plant growth for the assessment of inter-individual variability C Baey, A Mathieu, A Jullien, S Trevezas, PH Cournède Journal of agricultural, biological and environmental statistics 23 (2), 208-232, 2018 | 7 | 2018 |

Filtrage par noyaux de convolution itératif Y Chen, B Bayol, C Loi, S Trevezas, PH Cournède | 7 | 2012 |

Iterative convolution particle filtering for nonlinear parameter estimation and data assimilation with application to crop yield prediction Y Chen, S Trevezas, PH Cournède 2013 Proceedings of the Conference on Control and its Applications, 67-74, 2013 | 5 | 2013 |

A regularized particle filter EM algorithm based on Gaussian randomization with an application to plant growth modeling Y Chen, S Trevezas, PH Cournede Methodology and Computing in Applied Probability 17 (4), 847-870, 2015 | 3 | 2015 |

Bayesian estimation in Functional-Structural Plant Models with stochastic organogenesis C Loi, PH Cournède, S Trevezas | 3 | 2011 |

Some sequential Monte Carlo techniques for Data Assimilation in a plant growth model Y Chen, S Trevezas, A Gupta, PH Cournède | 1 | 2013 |

A nonlinear mixed effects model to explain inter-individual variability in plant populations C Baey, S Trevezas, PH Cournède | | 2013 |

An EM and a stochastic version of the EM algorithm for nonparametric Hidden semi-Markov models S Trevezas, N Limnios | | 2009 |

Etude de l'estimation du maximum de vraisemblance dans des modèles markoviens, semi-markoviens et semi-markoviens cachés avec applications S Trevezas | | 2008 |

Improved EM and SEM algorithm for nonparametric HSMMs S Malefaki, S Trevezas | | 2008 |

MLE for variants of Hidden Semi-Markov Models and algorithmic techniques S Trevezas | | 2008 |

Sequential Monte Carlo techniques for MLE in plant growth modeling S Trevezas, PH Cournede COMPSTAT’2010 Book of Abstracts, 50, 2008 | | 2008 |