Linear Modelling
Bayesian Methods for Ecological and Environmental Modelling
Peter Levy
UKCEH Edinburgh
Review
Different kinds of systems & models
- stable, periodic, chaotic, complex
- empirical, statistical, machine learning, process-based
Linear models
- simplest type of model
- parameters can be estimated from data using MCMC
- very easy with
rstanarm
- informative priors can be specified
Tomorrow
Model selection & comparison
- which \(x\) variables to include?
- what form of model \(f\) to use?
- which model is better?
Tomorrow
Hierarchical modelling
- samples not independent but grouped
- e.g. species, sites, dates, methods, …
- groups can be nested
- regions | sites | plots
- family | genus | species