Learning Bayesian Statistics

Podcast készítő Alexandre Andorra - Szerdák

Szerdák

Kategóriák:

Oktatás Technológia

145 Epizód

  1. #42 How to Teach and Learn Bayesian Stats, with Mine Dogucu

    Közzétéve: 2021. 06. 24.

  2. #41 Thinking Bayes, with Allen Downey

    Közzétéve: 2021. 06. 14.

  3. #40 Bayesian Stats for the Speech & Language Sciences, with Allison Hilger and Timo Roettger

    Közzétéve: 2021. 05. 28.

  4. #39 Survival Models & Biostatistics for Cancer Research, with Jacki Buros

    Közzétéve: 2021. 05. 14.

  5. #38 How to Become a Good Bayesian (& Rap Artist), with Baba Brinkman

    Közzétéve: 2021. 04. 30.

  6. #37 Prophet, Time Series & Causal Inference, with Sean Taylor

    Közzétéve: 2021. 04. 16.

  7. #36 Bayesian Non-Parametrics & Developing Turing.jl, with Martin Trapp

    Közzétéve: 2021. 03. 30.

  8. #35 The Past, Present & Future of BRMS, with Paul Bürkner

    Közzétéve: 2021. 03. 12.

  9. #34 Multilevel Regression, Post-stratification & Missing Data, with Lauren Kennedy

    Közzétéve: 2021. 02. 25.

  10. #33 Bayesian Structural Time Series, with Ben Zweig

    Közzétéve: 2021. 02. 12.

  11. #32 Getting involved into Bayesian Stats & Open-Source Development, with Peadar Coyle

    Közzétéve: 2021. 01. 27.

  12. #31 Bayesian Cognitive Modeling & Decision-Making, with Michael Lee

    Közzétéve: 2021. 01. 05.

  13. #30 Symbolic Computation & Dynamic Linear Models, with Brandon Willard

    Közzétéve: 2020. 12. 18.

  14. #29 Model Assessment, Non-Parametric Models, And Much More, with Aki Vehtari

    Közzétéve: 2020. 12. 02.

  15. #28 Game Theory, Industrial Organization & Policy Design, with Shosh Vasserman

    Közzétéve: 2020. 11. 20.

  16. #27 Modeling the US Presidential Elections, with Andrew Gelman & Merlin Heidemanns

    Közzétéve: 2020. 11. 01.

  17. #26 What you’ll learn & who you’ll meet at the PyMC Conference, with Ravin Kumar & Quan Nguyen

    Közzétéve: 2020. 10. 24.

  18. #25 Bayesian Stats in Football Analytics, with Kevin Minkus

    Közzétéve: 2020. 10. 09.

  19. #24 Bayesian Computational Biology in Julia, with Seth Axen

    Közzétéve: 2020. 09. 24.

  20. #23 Bayesian Stats in Business and Marketing Analytics, with Elea McDonnel Feit

    Közzétéve: 2020. 09. 10.

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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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