Tag Archives: Bayes Factor

Michael Lee

The Bayes Factor
The Bayes Factor
Michael Lee
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In this episode JP and Alex interview Michael Lee. They discuss model complexity and generative models, the differences between cognitive models and machine learning, whether and when preregistration of models is useful, and Michael’s undying love of cricket.

  • Follow us on Twitter: https://twitter.com/TheBayesFactor
  • Follow us on Facebook: https://www.facebook.com/TheBayesFactor/
  • Subscribe & leave us a review on iTunes: https://itunes.apple.com/us/podcast/the-bayes-factor/id1308207723

Notes and links:

  • Follow Michael on twitter: https://twitter.com/mdlBayes
  • The workshop we attended resulted in this special issue on robust modeling in cognitive science: https://link.springer.com/journal/42113/volumes-and-issues/2-3
  • Lee and Vanpaemel on informative priors: https://link.springer.com/article/10.3758/s13423-017-1238-3

Zoltan Dienes

The Bayes Factor
The Bayes Factor
Zoltan Dienes
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In this episode JP and Alex interview Zoltan Dienes. They discuss Zoltan's passion for the martial arts, 
why Bayesian inference could be more Popperian than you might think, 
and the easiest way to start using Bayesian statistics in practice.

- Follow us on Twitter: https://twitter.com/TheBayesFactor
- Follow us on Facebook: https://www.facebook.com/TheBayesFactor/
- Subscribe & leave us a review on iTunes: https://itunes.apple.com/us/podcast/the-bayes-factor/id1308207723

Notes and links:

- Zoltan’s book: https://www.amazon.com/Understanding-Psychology-Science-Introduction-Statistical/dp/023054231X
- Zoltan’s Bayes references and Bayes factor calculator: http://www.lifesci.sussex.ac.uk/home/Zoltan_Dienes/inference/Bayes.htm
- Four reasons to prefer Bayesian over significance testing: https://link.springer.com/article/10.3758/s13423-017-1266-z

JP and Alex 2.0

The Bayes Factor
The Bayes Factor
JP and Alex 2.0







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In this episode JP and Alex catch up with each other and talk about how they like podcasting so far, Alex’s experience doing a joint MS/Phd in stats and cognitive science, JP’s new paper responding to the p<.005 debate, and their future plans for the podcast.

  • Follow us on Twitter: https://twitter.com/TheBayesFactor
  • Follow us on Facebook: https://www.facebook.com/TheBayesFactor/
  • Subscribe & leave us a review on iTunes: https://itunes.apple.com/us/podcast/the-bayes-factor/id1308207723

Notes and links:

  • JP’s entry into the .005 debate: https://link.springer.com/article/10.3758/s13423-018-1523-9 (preprint: https://psyarxiv.com/rbm8y)
  • Notes on Kullback-Leibler divergence: https://psyarxiv.com/5vhzu/

Dan Simons and Steve Lindsay

The Bayes Factor
The Bayes Factor
Dan Simons and Steve Lindsay







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In this fourth episode Alex interviews two prominent journal editors in psychology, Dan Simons and Steve Lindsay. Dan is professor of Psychology at the university of Illinois and chief editor of Advances in Methods and Practices in psychological science. Steve is professor of psychology at university of Victoria and chief editor at Psychological Science. They discuss their academic histories, the reproducibility crisis from the perspective of journal editors, and their optimism about new initiatives to reform psychological science.

Links:

Eric-Jan Wagenmakers

The Bayes Factor
The Bayes Factor
Eric-Jan Wagenmakers







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Episode 2: show notes

In this second episode, Alex and JP interview Eric-Jan (E.-J.) Wagenmakers. Among other things, they discuss how E.-J. got into Bayesian statistics, chess addiction, and the P < .005 controversy.

Links: