BMW: Bayesian Modelling of Worms Assessing the impact of individual pollutants on Nephtyidae abundance in South African Harbours through Bayesian Modelling

Scharler, Julian (2025) BMW: Bayesian Modelling of Worms Assessing the impact of individual pollutants on Nephtyidae abundance in South African Harbours through Bayesian Modelling. Bachelor's Thesis, Artificial Intelligence.

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Abstract

The supervisor and/or the author did not authorize public publication of the thesis.

Item Type:	Thesis (Bachelor's Thesis)
Supervisor name:	Zullich, M. and Cardenas Cartagena, J. D.
Degree programme:	Artificial Intelligence
Thesis type:	Bachelor's Thesis
Language:	English
Date Deposited:	28 Jan 2025 09:06
Last Modified:	28 Jan 2025 09:06
URI:	https://fse.studenttheses.ub.rug.nl/id/eprint/34604

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