Ed Boone
Zero-Inflated models for determining fish abundance

Determining which variables influence the abundance of a species of fish is a common problem in Ecology. However, modeling this is often problematic due to an over abundance of zeros. This talk proposes using a Zero-Inflated model to model both presence/absence and abundance simultaneously. In this model we also incorporate variables at different scales and spatial correlation among sampling sites. This model is illustrated on an Ecological dataset concerning the Mary and Albert Rivers in Australia.

Back to Seminar Page