Bayesian Methods for Ecological and Environmental Modelling

This page contains an outline of the topics, content, and practical materials for the course.

Session	Day & time	Topic	Who	Materials	Presentations	Practical
1a	Mon, 1-2 pm	Welcome & Overview of the course	PL		🖥️
1b	Mon, 2-5 pm	Bayesian basics	PH	📖	🖥️	📋
2a	Tue, 9.30-11 am	More Basics	PH	📖	🖥️	📋
		Break
2b	Tue, 11.30- 1 pm	MCMC	DC	📖	🖥️	📋
		Lunch
3a	Tue, 2-3.30 pm	Linear modelling	PL	📖	🖥️	📋
		Break
3b	Tue, 4-5 pm	Linear modelling	PL	📖	🖥️	📋
4a	Wed, 9.30-11 am	Model selection & comparison	PH	📖	🖥️	📋
		Break
4b	Wed, 11.30- 1 pm	Measurement and uncertainty	PL	📖	🖥️	📋
		Lunch
5a	Wed, 2-3.30 pm	Hierarchical modelling	LB	📖	🖥️	📋
		Break
5b	Wed, 4-5 pm	Hierarchical modelling	LB	📖	🖥️	📋
6a	Thu, 9.30-11 am	Hierarchical modelling	LB	📖	🖥️	📋
		Break
6b	Thu, 11.30- 1 pm	Process-based models	DC	📖	🖥️	📋
		Lunch
7a	Thu, 2-3.30 pm	Process-based models	DC	📖	🖥️	📋
		Break
7b	Thu, 4-5 pm	Machine learning / Miscellaneous	PL/DC	📖	🖥️	📋
8a	Fri, 9.30-11 am	Group Discussion	all	📖
		Break
8b	Fri, 11.30- 1 pm	Group Discussion cont.	all