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Communication Dans Un Congrès Année : 2011

Bayesian Estimation in Functional-Structural Plant Models with Stochastic Organogenesis

Résumé

In this article, Functional Structural Plant growth Models (FSPMs) with stochastic organogenesis are described in the framework of Jump Markov Models. A Bayesian approach is adopted to estimate uncertain ecophysiological parameters. In particular, two estimation procedures are detailed: the Rao-Blackwellized Particle Filter and the Convolution Particle Filter. These methods are then applied and compared throughout a particular FSPM: the GreenLab model with stochastic organogenesis.
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Dates et versions

hal-00653672 , version 1 (20-12-2011)

Identifiants

  • HAL Id : hal-00653672 , version 1

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Cédric Loi, Paul-Henry Cournède, Samis Trevezas. Bayesian Estimation in Functional-Structural Plant Models with Stochastic Organogenesis. 14th Applied Stochastic Models and Data Analysis International Conference (ASMDA 2011), Jun 2011, Rome, Italy. ⟨hal-00653672⟩
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