SDMs

Statistical Learning in Environmental Health
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Sep 20, 2022
Statistical Learning in Environmental Health
Statistical Learning in Environmental Health
Write a summary
Sep 20, 2022
Statistical Learning in Environmental Health
Statistical Learning in Environmental Health
Write a summary
Sep 20, 2022
Statistical Learning in Environmental Health
Statistical Learning in Environmental Health
Write a summary
Sep 20, 2022
Statistical Learning in Environmental Health
Statistical Learning in Environmental Health
Write a summary
Sep 20, 2022
Statistical Learning in Environmental Health
Bayesian Hierarchical models in Marine Ecology
This project focuses on developing hierarchical Bayesian models to study Marine Ecology, incorporating interactions among species such as dolphins, fish, and seabirds to improve the understanding of their distribution and abundance.
Bayesian Hierarchical models in Marine Ecology
Spatial Bayesian Learning in Ecology and Climate Change
Bayesian learning for Ecology involves applying advanced statistical models to understand ecological data, providing insights into environmental processes and the impacts of climate change.
Spatial Bayesian Learning in Ecology and Climate Change
Mixed Models for Plant Epidemiology
This project uses Bayesian Mixed Models to analyze and predict the spread of plant diseases such as Citrus Black Spot, Circular Leaf Spot, and Xylella fastidiosa, integrating spatial and temporal data to inform effective control strategies.
Mixed Models for Plant Epidemiology