Bayesian Hierarchical models in Marine Ecology

The "Hierarchical Bayesian Models in Marine Ecology" project aims to enhance the understanding of marine species distribution by developing advanced Bayesian models. By incorporating interactions among species such as dolphins, fish, and seabirds, these models can provide more accurate predictions of species abundance and distribution. The project utilizes real-world data from various marine surveys, applying statistical techniques to analyze the spatial and temporal patterns of marine life. This approach helps in identifying critical factors affecting marine ecosystems and aids in the conservation and management of marine biodiversity.