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Takeaways:

Bob's research focuses on corruption and political economy.
Measuring corruption is challenging due to the unobservable nature of the behavior.
The challenge of studying corruption lies in obtaining honest data.
Innovative survey techniques, like randomized response, can help gather sensitive data.
Non-traditional backgrounds can enhance statistical research perspectives.
Bayesian methods are particularly useful for estimating latent variables.
Bayesian methods shine in situations with prior information.
Expert surveys can help estimate uncertain outcomes effectively.
Bob's novel, 'The Bayesian Hitman,' explores academia through a fictional lens.
Writing fiction can enhance academic writing skills and creativity.
The importance of community in statistics is emphasized, especially in the Stan community.
Real-time online surveys could revolutionize data collection in social science.

Chapters:

00:00 Introduction to Bayesian Statistics and Bob Kubinec

06:01 Bob's Academic Journey and Research Focus

12:40 Measuring Corruption: Challenges and Methods

18:54 Transition from Government to Academia

26:41 The Influence of Non-Traditional Backgrounds in Statistics

34:51 Bayesian Methods in Political Science Research

42:08 Bayesian Methods in COVID Measurement

51:12 The Journey of Writing a Novel

01:00:24 The Intersection of Fiction and Academia

Thank you to my Patrons for making this episode possible!

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