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Study mode:
on
1
Intro
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Outside view
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Lineage of complaints
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Conceptual friction
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My Book is Neo-Colonial
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Another path
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Insider perspective
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Corner cases
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Joint model
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How is prior formed?
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GLMM birds
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Bad data, good cats
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Sly cats • Cats are hard to detect Birds always see them, but data
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Four Unifying Forces
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Benefits of insider view
Description:
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.

Bayesian Statistics Without Frequentist Language

Richard McElreath
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