# Richard Mcelreath
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richard mcelreath (born 1973) is an American professor of anthropology and current managing director of the Max Planck Institute for Evolutionary Anthropology in Leipzig, Germany. He's an author of the Statistical Rethinking applied Bayesian statistics textbook, among the first to largely rely on the Stan statistical environment, and the accompanying rethinking R language package.He earned his S.B. at Emory University in 1995 and a Ph.D. in anthropology under Robert Boyd at the University of California, Los Angeles in 2001 with field research in Tanzania.
== Research ==
In 2001 to 2002 McElreath won a fellowship to work as a postdoctoral researcher studying bounded rationality at the Max Planck Institute under Gerd Gigerenzer.
Show #14 Inclusionism with Prof. Shiela Foster & Prof. Suresh Naidu
This week we will talk to two guests; law professor Shiela Foster (https://twitter.com/sheilarfoster)about what she calls the "Co-City" and economics professor Suresh Naidu (https://twitter.com/snaidunl) about what he calls "economics after neoliberalism" .
Bios
Sheila R. Foster is a Professor o…
Cultural Evolution
This week Razib discusses cultural evolution with anthropologist Richard McElreath. Show notes: https://pxlme.me/HCVcxcZh
Publish-or-Perish and the Quality of Science
How did we end up in a situation where so many scientific papers do not replicate? One theory, is that the publish-or-perish system is to blame.This podcast is an audio read through of the (initial version of the) article Publish-or-perish and the Quality of Science, published on New Things Under t…
S03E09 - Statistical rethinking - with Richard McElreath
A reminder that David's book, Solve Any Data Analysis Problem, is out later this year and you can already buy it and read it in its draft form as part of Manning's Early Access Program. If you want to practise your data skills on real world problems and learn a reusable framework to use on any proj…
Paul Smaldino - Social identities, collective intelligence, and an ambling open life
Paul Smaldino is an explorer. That might seem like an odd way to describe a professor of cognitive science, but anyone who has glanced at his biography will recognize that he lives his life in exploration. His scholarship as his life are inspiration for keeping the lines of inquiry wide open and th…
“Ketones Work - Even If We Don’t Know Why” | Dr Adrian Soto-Mota, MD, PhD
Dr Adrian Soto-Mota, MD, PhD is one of the clearest and most curious voices in metabolic research and he’s not afraid to say what doesn’t make sense anymore.
Dr Adrian is an internal medicine physician and metabolic researcher based in Mexico City. In this conversation, we go deep on the limitation…
Games & Metrics: Agency as Art & Artifice with C. Thi Nguyen
✨ Become a founding member to access my online courses, including Jurassic Worlding and How To Live In The Future
✨ Browse and buy all of the books we discuss on the show at Bookshop.org
✨ Stream and download my music at artist-owned Subvert.fm
✨ Learn about Atlas Research Group, my new team on a m…
#164 Bayesian Workflow, with Andrew Gelman, Aki Vehtari & Richard McElreath
Support & Resources→ Support the show on Patreon→ Bayesian Modeling Course (first 2 lessons free)Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work
Takeaways:Q: What is the "Bayesian Workflow" book about, and who is it for?
A: It covers w…
Why a Bayesian Workflow Goes Beyond Fitting Models
Today's clip is from Episode 164, featuring Andrew Gelman, Aki Vehtari & Richard McElreath. In this conversation, Andrew explains why a Bayesian workflow goes far beyond simply fitting a model. He discusses the importance of building, fitting, and checking models, and why moving between simpler and…
Bayesian Principal Stratification: Modeling Treatment Effects
Today's clip is from Episode 164, featuring Andrew Gelman, Aki Vehtari & Richard McElreath. In this conversation, Andrew explains how Bayesian principal stratification can be used to reason about treatment effects when there is an intermediate treatment or outcome that is only partially observed.
…
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