From snow leopards to house crickets: how a Bayesian approach helps me answer questions in a better way

Often I build models in a Bayesian framework that don’t differ in their structure from what I could build more quickly using a likelihood-based R package. So why do I do it? Is it because I like to make my life more complicated? Is it to show off my ‘cool' credentials in being a stats nerd? In this seminar I will show examples from my work in analysing snow leopard prey selection, bird trends across the Great Barrier Reef, and personality traits of insects, and how building my models in a Bayesian framework allows me to ask new questions and answer old ones in a much clearer way. Basically, I use Bayes because it helps me communicate my results.

This seminar is a part of an online seminar series about Baysian data analysis, given by the SLU Center of Statistics. The full program for the seminar series can be seen here.

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Mohammad Ghorbani