Authors: Fabien Campillo ¹; Philippe Cantet ²; Rivo Rakotozafy ³; Vivien Rossi ⁴

• 1 Water Resource Modeling
• 2 Ouvrages hydrauliques et hydrologie
• 3 Université de Fianarantsoa
• 4 Ecologie des forêts de Guyane [ECOFOG]

Markov chain Monte Carlo (MCMC) methods together with hidden Markov models are extensively used in the Bayesian inference for many scientific fields like environment and ecology. Through simulated examples we show that the speed of convergence of these methods can be very low. In order to improve the convergence properties, we propose a method to make parallel chains interact. We apply this method to a biomass evolution model for fisheries.