Learning Bayesian Statistics

A podcast by Alexandre Andorra - Wednesdays

Wednesdays

Categories:

Education Technology

141 Episodes

  1. #58 Bayesian Modeling and Computation, with Osvaldo Martin, Ravin Kumar and Junpeng Lao

    Published: 3/21/2022

  2. #57 Forecasting French Elections, with… Mystery Guest

    Published: 3/3/2022

  3. #56 Causal & Probabilistic Machine Learning, with Robert Osazuwa Ness

    Published: 2/16/2022

  4. #55 Neuropsychology, Illusions & Bending Reality, with Dominique Makowski

    Published: 1/31/2022

  5. #54 Bayes in Theoretical Ecology, with Florian Hartig

    Published: 1/14/2022

  6. #53 Bayesian Stats for the Behavioral & Neural Sciences, with Todd Hudson

    Published: 12/28/2021

  7. #52 Election forecasting models in Germany, with Marcus Gross

    Published: 12/9/2021

  8. #51 Bernoulli’s Fallacy & the Crisis of Modern Science, with Aubrey Clayton

    Published: 11/22/2021

  9. #50 Ta(l)king Risks & Embracing Uncertainty, with David Spiegelhalter

    Published: 11/6/2021

  10. #49 The Present & Future of Baseball Analytics, with Ehsan Bokhari

    Published: 10/22/2021

  11. #48 Mixed Effects Models & Beautiful Plots, with TJ Mahr

    Published: 10/8/2021

  12. #47 Bayes in Physics & Astrophysics, with JJ Ruby

    Published: 9/21/2021

  13. #46 Silly & Empowering Statistics, with Chelsea Parlett-Pelleriti

    Published: 8/30/2021

  14. #45 Biostats & Clinical Trial Design, with Frank Harrell

    Published: 8/10/2021

  15. #44 Building Bayesian Models at scale, with Rémi Louf

    Published: 7/22/2021

  16. #43 Modeling Covid19, with Michael Osthege & Thomas Vladeck

    Published: 7/8/2021

  17. #42 How to Teach and Learn Bayesian Stats, with Mine Dogucu

    Published: 6/24/2021

  18. #41 Thinking Bayes, with Allen Downey

    Published: 6/14/2021

  19. #40 Bayesian Stats for the Speech & Language Sciences, with Allison Hilger and Timo Roettger

    Published: 5/28/2021

  20. #39 Survival Models & Biostatistics for Cancer Research, with Jacki Buros

    Published: 5/14/2021

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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 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. 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. 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! My name is Alex Andorra by the way, and I live in Estonia. By day, I'm a data scientist and modeler at the PyMC Labs consultancy. By night, I don't (yet) fight crime, but I'm an open-source enthusiast and core contributor to the python packages PyMC and ArviZ. I also love election forecasting and, most importantly, Nutella. But I don't like talking about it – I prefer eating it. 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 unlock exclusive Bayesian swag on Patreon!