Bayesian Statistics Without Frequentist Language

Explore Bayesian statistics from a fresh perspective in this 51-minute conference talk by Richard McElreath at Bayes@Lund2017. Delve into the conceptual challenges of traditional statistical approaches and discover an alternative path to understanding Bayesian methods. Examine the formation of priors, explore joint models, and investigate real-world applications through examples like GLMMs for bird observations and cat detection studies. Gain insights into the benefits of an insider's view of Bayesian statistics and learn about the four unifying forces that shape this powerful analytical approach. Benefit from McElreath's expertise as he presents complex concepts in an accessible manner, enhanced by Rasmus Bååth's superb video and sound editing.

Intro
Outside view
Lineage of complaints
Conceptual friction
My Book is Neo-Colonial
Another path
Insider perspective
Corner cases
Joint model
How is prior formed?
GLMM birds
Bad data, good cats
Sly cats • Cats are hard to detect Birds always see them, but data
Four Unifying Forces
Benefits of insider view