The “real” contents list is the menu in the sidebar, but we need to keep track of what pages are planned and what are already available.

**Bayes with JAGS – a tutorial for wildlife researchers**: Introductory page – Why Bayes? Why JAGS?*Using this tutorial***Bayes as a rule for learning**: The idea that we learn by updating our beliefs in the light of new evidence (ie, data).**Probability**: Definitions and terminology.*History of probability concepts*

**A simple model with just one parameter**: Example: How many orangutan in the park? Conjugacy, comb method and JAGS.- MCMC and the guts of JAGS (links only)

**LINEAR MODELS****Simple regression with JAGS**: Galton’s data on the heights of mothers and daughters.- Logistic regression: The socks-in-the-box data analysis with JAGS.

**HIERARCHICAL MODELS**- Hierarchical logistic regression: Adding a block effect to the socks-in-the-box analysis.

**OCCUPANCY**- Basic occupancy model: the salamanders data set, no covariates.
- Occupancy modelling with site covariates: Swiss willow tits data with covariates for occupancy.
- Categorical covariates
- Goodness-of-fit measures
- Model selection with WAIC and LOO; Bayesian lasso.
- Species distribution maps

- Adding survey covariates: covariates for detection probability.
- Multi-year occupancy models: grand skinks data set.
- Two-species occupancy models.

**POPULATION ESTIMATION**- Data augmentation: Kanha tigers data
- SECR: Example with rectangular state space
- Irregular habitat patches, masks
- Covariates for traps and animals.
- Habitat suitability covariates.
- Open SECR models

**COMMUNITY MODELS**- MSOM as implemented by Marc Kery.

How about 2-species occupancy.

I think it is interesting

Thanks Soy, I’ve add that to the list – though may be a while before it actually appears, as haven’t covered it in the workshop.