145 Episodio

  1. #82 Sequential Monte Carlo & Bayesian Computation Algorithms, with Nicolas Chopin

    Pubblicato: 05/05/2023

  2. #81 Neuroscience of Perception: Exploring the Brain, with Alan Stocker

    Pubblicato: 24/04/2023

  3. #80 Bayesian Additive Regression Trees (BARTs), with Sameer Deshpande

    Pubblicato: 11/04/2023

  4. #79 Decision-Making & Cost Effectiveness Analysis for Health Economics, with Gianluca Baio

    Pubblicato: 17/03/2023

  5. #78 Exploring MCMC Sampler Algorithms, with Matt D. Hoffman

    Pubblicato: 01/03/2023

  6. #77 How a Simple Dress Helped Uncover Hidden Prejudices, with Pascal Wallisch

    Pubblicato: 13/02/2023

  7. #76 The Past, Present & Future of Stan, with Bob Carpenter

    Pubblicato: 01/02/2023

  8. #75 The Physics of Top Gun 2 Maverick, with Jason Berndt

    Pubblicato: 20/01/2023

  9. #74 Optimizing NUTS and Developing the ZeroSumNormal Distribution, with Adrian Seyboldt

    Pubblicato: 05/01/2023

  10. #73 A Guide to Plotting Inferences & Uncertainties of Bayesian Models, with Jessica Hullman

    Pubblicato: 23/12/2022

  11. #72 Why the Universe is so Deliciously Crazy, with Daniel Whiteson

    Pubblicato: 03/12/2022

  12. #71 Artificial Intelligence, Deepmind & Social Change, with Julien Cornebise

    Pubblicato: 14/11/2022

  13. #70 Teaching Bayes for Biology & Biological Engineering, with Justin Bois

    Pubblicato: 22/10/2022

  14. #69 Why, When & How to use Bayes Factors, with Jorge Tendeiro

    Pubblicato: 05/10/2022

  15. #68 Probabilistic Machine Learning & Generative Models, with Kevin Murphy

    Pubblicato: 14/09/2022

  16. #67 Exoplanets, Cool Worlds & Life in the Universe, with David Kipping

    Pubblicato: 31/08/2022

  17. #66 Uncertainty Visualization & Usable Stats, with Matthew Kay

    Pubblicato: 17/08/2022

  18. #65 PyMC, Aeppl, & Aesara: the new cool kids on the block, with Ricardo Vieira

    Pubblicato: 03/08/2022

  19. #64 Modeling the Climate & Gravity Waves, with Laura Mansfield

    Pubblicato: 20/07/2022

  20. #63 Media Mix Models & Bayes for Marketing, with Luciano Paz

    Pubblicato: 28/06/2022

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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!

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