Learning Bayesian Statistics

A podcast by Alexandre Andorra - Wednesdays

Wednesdays

Categories:

Education Technology

141 Episodes

  1. #126 MMM, CLV & Bayesian Marketing Analytics, with Will Dean

    Published: 2/19/2025

  2. #125 Bayesian Sports Analytics & The Future of PyMC, with Chris Fonnesbeck

    Published: 2/5/2025

  3. #124 State Space Models & Structural Time Series, with Jesse Grabowski

    Published: 1/22/2025

  4. #123 BART & The Future of Bayesian Tools, with Osvaldo Martin

    Published: 1/10/2025

  5. #122 Learning and Teaching in the Age of AI, with Hugo Bowne-Anderson

    Published: 12/26/2024

  6. #121 Exploring Bayesian Structural Equation Modeling, with Nathaniel Forde

    Published: 12/11/2024

  7. #120 Innovations in Infectious Disease Modeling, with Liza Semenova & Chris Wymant

    Published: 11/27/2024

  8. #119 Causal Inference, Fiction Writing and Career Changes, with Robert Kubinec

    Published: 11/13/2024

  9. #118 Exploring the Future of Stan, with Charles Margossian & Brian Ward

    Published: 10/30/2024

  10. #117 Unveiling the Power of Bayesian Experimental Design, with Desi Ivanova

    Published: 10/15/2024

  11. #116 Mastering Soccer Analytics, with Ravi Ramineni

    Published: 10/2/2024

  12. #115 Using Time Series to Estimate Uncertainty, with Nate Haines

    Published: 9/17/2024

  13. #114 From the Field to the Lab – A Journey in Baseball Science, with Jacob Buffa

    Published: 9/5/2024

  14. #113 A Deep Dive into Bayesian Stats, with Alex Andorra, ft. the Super Data Science Podcast

    Published: 8/22/2024

  15. #112 Advanced Bayesian Regression, with Tomi Capretto

    Published: 8/7/2024

  16. #111 Nerdinsights from the Football Field, with Patrick Ward

    Published: 7/24/2024

  17. #110 Unpacking Bayesian Methods in AI with Sam Duffield

    Published: 7/10/2024

  18. #109 Prior Sensitivity Analysis, Overfitting & Model Selection, with Sonja Winter

    Published: 6/25/2024

  19. #108 Modeling Sports & Extracting Player Values, with Paul Sabin

    Published: 6/14/2024

  20. #107 Amortized Bayesian Inference with Deep Neural Networks, with Marvin Schmitt

    Published: 5/29/2024

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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!