| 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 | 55 | 2011 |
| Exact MLE and asymptotic properties for nonparametric semi-Markov models S Trevezas, N Limnios Journal of Nonparametric Statistics 23 (3), 719-739, 2011 | 30 | 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 | 21 | 2013 |
| 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 | 21 | 2009 |
| A non linear mixed effects model of plant growth and estimation via stochastic variants of the em algorithm C Baey, S Trevezas, PH Cournede Communications in Statistics-Theory and Methods 45 (6), 1643-1669, 2016 | 18 | 2016 |
| 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 | 18* | 2014 |
| 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 | 17 | 2010 |
| Maximum likelihood estimation for general hidden semi-Markov processes with backward recurrence time dependence S Trevezas, N Limnios Journal of Mathematical Sciences 163, 262-274, 2009 | 17 | 2009 |
| 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, 208-232, 2018 | 12 | 2018 |
| Filtrage par noyaux de convolution itératif Y Chen, B Bayol, C Loi, S Trevezas, PH Cournède Les 44 Journées de Statistique, CHEN, 2012 | 8 | 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 | 6 | 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, 847-870, 2015 | 5 | 2015 |
| Some sequential Monte Carlo techniques for Data Assimilation in a plant growth model Y Chen, S Trevezas, A Gupta, PH Cournède Applied Stochastic Models and Data Analysis International Conference (ASMDA …, 2013 | 4 | 2013 |
| Bayesian estimation in Functional-Structural Plant Models with stochastic organogenesis C Loi, PH Cournède, S Trevezas 14th Applied Stochastic Models and Data Analysis International Conference …, 2011 | 4 | 2011 |
| Bayesian estimation for the greenlab plant growth model with deterministic organogenesis D Logothetis, S Malefaki, S Trevezas, PH Cournède Journal of Agricultural, Biological and Environmental Statistics 27 (1), 63-87, 2022 | 3 | 2022 |
| Predicting tomato water consumption in a hydroponic greenhouse: contribution of light interception models K Florakis, S Trevezas, V Letort Frontiers in Plant Science 14, 1264915, 2023 | | 2023 |
| Moment-Type Estimators for the Dirichlet and the Multivariate Gamma Distributions I Oikonomidis, S Trevezas arXiv preprint arXiv:2311.15025, 2023 | | 2023 |
| Cumulative Link Mixed-Effects Models in the Service of Remote Sensing Crop Progress Monitoring I Oikonomidis, S Trevezas arXiv preprint arXiv:2308.14520, 2023 | | 2023 |
| A Modified EM Algorithm for Shrinkage Estimation in Multivariate Hidden Markov Models E Manifavas, S Trevezas | | 2023 |
| Bayesian Hierarchical Modeling and Application to Greenlab Model of Plant Growth A KOUROUKLI, S TREVEZAS | | 2022 |
