Learning Bayesian Statistics

Podcast készítő Alexandre Andorra - Szerdák

Szerdák

Kategóriák:

Oktatás Technológia

145 Epizód

  1. #22 Eliciting Priors and Doing Bayesian Inference at Scale, with Avi Bryant

    Közzétéve: 2020. 08. 26.

  2. #21 Gaussian Processes, Bayesian Neural Nets & SIR Models, with Elizaveta Semenova

    Közzétéve: 2020. 08. 13.

  3. #20 Regression and Other Stories, with Andrew Gelman, Jennifer Hill & Aki Vehtari

    Közzétéve: 2020. 07. 30.

  4. #19 Turing, Julia and Bayes in Economics, with Cameron Pfiffer

    Közzétéve: 2020. 07. 03.

  5. #SpecialAnnouncement: Patreon Launched!

    Közzétéve: 2020. 06. 26.

  6. #18 How to ask good Research Questions and encourage Open Science, with Daniel Lakens

    Közzétéve: 2020. 06. 18.

  7. #17 Reparametrize Your Models Automatically, with Maria Gorinova

    Közzétéve: 2020. 06. 04.

  8. #16 Bayesian Statistics the Fun Way, with Will Kurt

    Közzétéve: 2020. 05. 21.

  9. #15 The role of Python in Science and Education, with Michael Kennedy

    Közzétéve: 2020. 05. 06.

  10. #14 Hidden Markov Models & Statistical Ecology, with Vianey Leos-Barajas

    Közzétéve: 2020. 04. 22.

  11. #13 Building a Probabilistic Programming Framework in Julia, with Chad Scherrer

    Közzétéve: 2020. 04. 08.

  12. #12 Biostatistics and Differential Equations, with Demetri Pananos

    Közzétéve: 2020. 03. 25.

  13. #11 Taking care of your Hierarchical Models, with Thomas Wiecki

    Közzétéve: 2020. 03. 11.

  14. #10 Exploratory Analysis of Bayesian Models, with ArviZ and Ari Hartikainen

    Közzétéve: 2020. 02. 26.

  15. #9 Exploring the Cosmos with Bayes and Maggie Lieu

    Közzétéve: 2020. 02. 12.

  16. #8 Bayesian Inference for Software Engineers, with Max Sklar

    Közzétéve: 2020. 01. 29.

  17. #7 Designing a Probabilistic Programming Language & Debugging a Model, with Junpeng Lao

    Közzétéve: 2020. 01. 16.

  18. #6 A principled Bayesian workflow, with Michael Betancourt

    Közzétéve: 2020. 01. 03.

  19. #5 How to use Bayes in the biomedical industry, with Eric Ma

    Közzétéve: 2019. 12. 17.

  20. #4 Dirichlet Processes and Neurodegenerative Diseases, with Karin Knudson

    Közzétéve: 2019. 12. 04.

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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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