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Said OBAKRIM

INRAE-BioSP

1 Domaine St. Paul

84914 Avignon

Current Position

Currently, I am a postdoctoral researcher at the Biostatistique et Processus SPatiaux (BioSP) Laboratory within INRAE, in France. My work focuses on developing advanced statistical methods to understand and predict environmental processes, contributing to the broader field of environmental statistics and climate science.

Research Interests

My main research area encompasses statistics, space-time statistics, and machine learning, with a particular emphasis on applications in climate science. I am passionate about leveraging statistical models to better understand the complexities of climate variables and their impacts on natural and human systems. My work aims to provide insightful analyses that can inform policy and decision-making processes related to climate change and environmental management.

Selected publications

  1. Deep learning for statistical downscaling of sea states
    Michel, Marceau, Obakrim, Said, Raillard, Nicolas, Ailliot, Pierre, and Monbet, Valérie
    Advances in Statistical Climatology, Meteorology and Oceanography 2022
  2. Statistical modeling of the space–time relation between wind and significant wave height
    Obakrim, Said, Ailliot, Pierre, Monbet, Valerie, and Raillard, Nicolas
    Advances in Statistical Climatology, Meteorology and Oceanography 2023
  3. Learning the spatiotemporal relationship between wind and significant wave height using deep learning
    Obakrim, Said, Monbet, Valérie, Raillard, Nicolas, and Ailliot, Pierre
    Environmental Data Science 2023
  4. EM algorithm for generalized Ridge regression with spatial covariates
    Obakrim, Said, Ailliot, Pierre, Monbet, Valérie, and Raillard, Nicolas
    arXiv preprint arXiv:2208.04754 2022