Learning Bayesian Statistics
Claim This Podcastby Alexandre Andorra
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Podcast Overview
<p>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? </p><p></p><p>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. </p><p></p><p>When I started learning Bayesian methods, I really wished there were a podcast out there that could introduce me to the methods, the projects and the people who make all that possible. </p><p></p><p>So I created "Learning Bayesian Statistics", where you'll get to hear how Bayesian statistics are used to detect black matter in outer space, forecast elections or understand how diseases spread and can ultimately be stopped. But this show is not only about successes -- it's also about failures, because that's how we learn best. </p><p></p><p>So you'll often hear the guests talking about what *didn't* work in their projects, why, and how they overcame these challenges. Because, in the end, we're all lifelong learners! </p><p></p><p>My name is <a rel="noopener noreferrer nofollow" href="https://alexandorra.github.io/" target="_blank">Alex Andorra</a> by the way. By day, I'm a Senior data scientist. By night, I don't (yet) fight crime, but I'm an open-source enthusiast and core contributor to the python packages <a rel="noopener noreferrer nofollow" href="https://docs.pymc.io/" target="_blank">PyMC</a> and <a rel="noopener noreferrer nofollow" href="https://arviz-devs.github.io/arviz/" target="_blank">ArviZ</a>. I also love Nutella, but I don't like talking about it – I prefer eating it. </p><p></p><p>So, whether you want to learn Bayesian statistics or hear about the latest libraries, books and applications, this podcast is for you -- just subscribe! You can also support the show and <a rel="noopener noreferrer nofollow" href="https://www.patreon.com/learnbayesstats" target="_blank">unlock exclusive Bayesian swag on Patreon</a>!</p>
Language
🇺🇲
Publishing Since
9/20/2019
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Recent Episodes
June 19, 2026
Why Bayesian Statistics Is More Computational Than Ever
Alex Andorra interviews computational statistician Stefan Radev about how simulation makes Bayesian statistics more computationally feasible and practical today.
June 10, 2026
Exact GPs vs Approximations: When to Use Each (and Why It Matters)
Host Alex Andorra interviews wildlife ecologist Matthijs Hollanders about when to use exact Gaussian Processes versus approximations for efficient Bayesian modeling.
June 8, 2026
#159 Bayesian Occupancy Models, with Matthijs Hollanders
Host Alex Andorra interviews Matthijs Hollanders about Bayesian occupancy models and their application to continuous data from automated recording units.
210 total episodes available with 102 transcripts
Recent guests on Learning Bayesian Statistics
Guests from recent episodes — sign up to see every guest that has ever appeared on this show.
Stefan Radev
Guest
Matthijs Hollanders
Guest
Cherian Koshy
Guest
Daniel Saunders
Guest
Jonas Arruda
Guest
David Rügamer
Guest
Emanuel Sommer
Guest
Jakob Robnik
Guest
Alana Karen
Guest
Scott Berry
Guest
Martin Ingram
Guest
Ethan Smith
Guest
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Frequently asked questions
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- What is Learning Bayesian Statistics?
<p>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? </p><p></p><p>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. </p><p></p><p>When I started learning Bayesian methods, I really wished there were a podcast out there that could introduce me to the methods, the projects and the people who make all that possible. </p><p></p><p>So I created "Learning Bayesian Statistics", where you'll get to hear how Bayesian statistics are used to detect black matter in outer space, forecast elections or understand how diseases spread and can ultimately be stopped. But this show is not only about successes -- it's also about failures, because that's how we learn best. </p><p></p><p>So you'll often hear the guests talking about what *didn't* work in their projects, why, and how they overcame these challenges. Because, in the end, we're all lifelong learners! </p><p></p><p>My name is <a rel="noopener noreferrer nofollow" href="https://alexandorra.github.io/" target="_blank">Alex Andorra</a> by the way. By day, I'm a Senior data scientist. By night, I don't (yet) fight crime, but I'm an open-source enthusiast and core contributor to the python packages <a rel="noopener noreferrer nofollow" href="https://docs.pymc.io/" target="_blank">PyMC</a> and <a rel="noopener noreferrer nofollow" href="https://arviz-devs.github.io/arviz/" target="_blank">ArviZ</a>. I also love Nutella, but I don't like talking about it – I prefer eating it. </p><p></p><p>So, whether you want to learn Bayesian statistics or hear about the latest libraries, books and applications, this podcast is for you -- just subscribe! You can also support the show and <a rel="noopener noreferrer nofollow" href="https://www.patreon.com/learnbayesstats" target="_blank">unlock exclusive Bayesian swag on Patreon</a>!</p> - How often does this podcast release new episodes?
This podcast updates daily.
- Where can I listen to this podcast?
This podcast is available on 10 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
- Does this podcast accept guests?
Yes, this podcast regularly features guests.
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