68 citations
- Centre de Coopération Internationale en Recherche Agronomique pour le DéveloppementFR8 papers
- Institut National de Recherche pour l'Agriculture, l'Alimentation et l'EnvironnementFR4 papers
- Université de MontpellierFR4 papers
- Alex's Lemonade Stand FoundationUS3 papers
- Centre National de la Recherche ScientifiqueFR3 papers
- Institut national de recherche en sciences et technologies du numériqueFR3 papers
- Territoires, Environnement, Télédétection et Information SpatialeFR3 papers
- AgroParisTechFR2 papers
- Institut Montpelliérain Alexander GrothendieckFR2 papers
- UMR Botanique et Modélisation de l’Architecture des Plantes et des végétationsFR2 papers
- Universidad De SantanderCO2 papers
- Université de SherbrookeCA2 papers
12 papers
Zero-inflated binary Tree Pólya splitting regression for multivariate count data
Fabrice Moudjieu, Jean Peyhardi, Maxime Réjou-Méchain +2
Species distribution models (SDMs) are widely used to assess the effects of environmental factors on species distributions. However, classical SDMs ignore inter-species dependencie…
Unlocking tropical forest complexity: How tree assemblages in secondary forests boost biodiversity conservation
Maïri Souza Oliveira, Maxime Lenormand, Sandra Luque +11
Secondary forests now dominate tropical landscapes and play a crucial role in achieving COP15 conservation objectives. This study develops a replicable national approach to identif…
Tree Pólya Splitting distributions for multivariate count data
Samuel Valiquette, Jean Peyhardi, Éric Marchand +2
In this article, we develop a new class of multivariate distributions adapted for count data, called Tree Pólya Splitting. This class results from the combination of a univariate d…
Asymptotic tail properties of Poisson mixture distributions
Samuel Valiquette, Gwladys Toulemonde, Jean Peyhardi +2
Count data are omnipresent in many applied fields, often with overdispersion. With mixtures of Poisson distributions representing an elegant and appealing modelling strategy, we fo…
An evaluation framework for comparing epidemic intelligence systems
Nejat Arinik, Roberto Interdonato, Mathieu Roche +1
In the context of Epidemic Intelligence, many Event-Based Surveillance (EBS) systems have been proposed in the literature to promote the early identification and characterization o…
The one step fixed-lag particle smoother as a strategy to improve the prediction step of particle filtering
Samuel Nyobe, Fabien Campillo, Serge Moto +1
Sequential Monte Carlo methods have been a major breakthrough in the field of numerical signal processing for stochastic dynamical state-space systems with partial and noisy observ…