MSE
  • MSE : Mechanistico-Statistic Environment
  • Algorithms and mathematical aspects
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  • Software modules
  • References and applications
    • A mecanistico-statistique approach:
    • Studies using MSE for simulations and mecanistico-statistique analysis:
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MSE
  • References and applications
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References and applications

A mecanistico-statistique approach:

  • Using genetic data to estimate diffusion rates in heterogeneous landscapes. Journal of Mathematical Biology , L. Roques, E. Walker, P. Franck, S. Soubeyrand, 2015.

Studies using MSE for simulations and mecanistico-statistique analysis:

  • Modelling Population Dynamics in Realistic Landscapes with Linear Elements: A Mechanistic-Statistical Reaction-Diffusion Approach, PLOS ONE, L. Roques, O. Bonnefon, 2016, .

  • Dynamics of Aedes albopictus invasion insights from a spatio-temporal model, Biologic Invasion, L.Roques, T. Boivin, J. Papaix, S. Soubeyrand, O. Bonnefon, 2023. The DISTIGRI simulor is available here. .

  • Dating and localizing an invasion from post-introduction data and a coupled reaction-diffusion-absorption model, C. Abboud, O. Bonnefon, E. Parent, S. Soubeyrand, 2018.

  • More pests but less pesticide applications: Ambivalent effect of landscape complexity on conservation biological control, P. Zamberletti, K. Sabir, T. Opitz, O. Bonnefon, E. Gabriel, J. Papaix, 2021, PLOS Computationalbiology.

  • Mechanistic-statistical inference of mosquito dynamics from mark-release-recapture data, Nga Nguyen, Olivier Bonnefon, René Gato, Luis Almeida, Lionel Roques. In submission. The mark-release-recapture simulator is available here.

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