Examples from the book

Topics : Examples in this chapter keep on playing with LEGO bricks to build more and more complex hierarchical models by pilling up several simple layers.
- The first example builds a hierarchcial model for successive removal catch data and introduces time and habitat covariates which are helpful to capture variability of fish density and needed to forecast total abundance in the river.
- The second example develops a hierarchcial model for successive removals data and extend the model by connecting additionnal abundance indices.

Bayesian analysis of smolt runs by capture-mark-recapture

Bayesian analysis of juveniles abundace by successive removals