
Are you a researcher or data scientist / analyst / ninja? Do you want to learn Bayesian inference, stay up to date or simply want to understand what Bayesian inference is?
Then this podcast is for you! You'll hear from researchers and practitioners of all fields about how they use Bayesian statistics, and how in turn YOU can apply these methods in your modeling workflow.
When I started learnin... more
| Publishes | Weekly | Episodes | 185 | Founded | 6 years ago |
|---|---|---|---|---|---|
| Number of Listeners | Categories | ScienceTechnology | |||

• Support & get perks!
• Proudly sponsored by PyMC Labs! Get in touch at alex.andorra@pymc-labs.com
• Intro to Bayes and Advanced Regression courses (first 2 lessons free)
Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Me... more
Today’s clip is from episode 148 of the podcast, with Scott Berry.
In this conversation, Alex and Scott discuss emphasizing the shift from frequentist to Bayesian approaches in clinical trials.
They highlight the limitations of traditional trial ... more
• Support & get perks!
• Proudly sponsored by PyMC Labs. Get in touch and tell them you come from LBS!
• Intro to Bayes and Advanced Regression courses (first 2 lessons free)
Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and... more
Today’s clip is from episode 147 of the podcast, with Martin Ingram.
Alex and Martin discuss the intricacies of variational inference, particularly focusing on the ADVI method and its challenges. They explore the evolution of approximate inference m... more
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I wanted to listen to this podcast but just can’t get past the annoying host .
Keep up the great work, I very much enjoy listening to this podcast :)
Interesting Bayesian information
I first found this podcast searching for examples of applied Bayesian statistics. A year later, I still enjoy every show. It’s not only a great way to keep up to date with current developments in statistical programming but also a source of inspiration for how to apply statistical tools to any and all questions. A great add-on is that the podcast guests also talk about their failures, struggles and personal journeys, which makes statistics - a fearful and/or boring topic for many - more human ... more
Come for the great guests and their unique applications, stay for the novelty statistical rap music.
Key themes from listener reviews, highlighting what works and what could be improved about the show.
How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.
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Recent interactions between the hosts and their guests.
Listeners, social reach, demographics and more for this podcast.
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The content focuses on exploring Bayesian statistics through interviews with researchers and practitioners from diverse fields such as physics, psychology, sports analytics, and AI. What sets the discussions apart is their emphasis on both successes and failures, offering listeners insights into the challenges faced in the application of Bayesian methods, whether it's for modeling disease spread, analyzing election data, or understanding cognitive performance. The podcast aims to make complex statistical methodologies accessible and engaging, fostering a community of lifelong learners interested in practical applications of Bayesian inference.
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4. Practical AI
5. Cautionary Tales with Tim Harford
Learning Bayesian Statistics launched 6 years ago and published 185 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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Recent guests on Learning Bayesian Statistics include:
1. Scott Berry
2. Martin Ingram
3. Ethan Smith
4. Christoph Bamberg
5. Gabriel Stechschulte
6. Sam Witty
7. Ron Yurko
8. Max Balandat
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