Learning Bayesian Statistics
En podcast av Alexandre Andorra - Onsdagar
Kategorier:
141 Avsnitt
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#58 Bayesian Modeling and Computation, with Osvaldo Martin, Ravin Kumar and Junpeng Lao
Publicerades: 2022-03-21 -
#57 Forecasting French Elections, with… Mystery Guest
Publicerades: 2022-03-03 -
#56 Causal & Probabilistic Machine Learning, with Robert Osazuwa Ness
Publicerades: 2022-02-16 -
#55 Neuropsychology, Illusions & Bending Reality, with Dominique Makowski
Publicerades: 2022-01-31 -
#54 Bayes in Theoretical Ecology, with Florian Hartig
Publicerades: 2022-01-14 -
#53 Bayesian Stats for the Behavioral & Neural Sciences, with Todd Hudson
Publicerades: 2021-12-28 -
#52 Election forecasting models in Germany, with Marcus Gross
Publicerades: 2021-12-09 -
#51 Bernoulli’s Fallacy & the Crisis of Modern Science, with Aubrey Clayton
Publicerades: 2021-11-22 -
#50 Ta(l)king Risks & Embracing Uncertainty, with David Spiegelhalter
Publicerades: 2021-11-06 -
#49 The Present & Future of Baseball Analytics, with Ehsan Bokhari
Publicerades: 2021-10-22 -
#48 Mixed Effects Models & Beautiful Plots, with TJ Mahr
Publicerades: 2021-10-08 -
#47 Bayes in Physics & Astrophysics, with JJ Ruby
Publicerades: 2021-09-21 -
#46 Silly & Empowering Statistics, with Chelsea Parlett-Pelleriti
Publicerades: 2021-08-30 -
#45 Biostats & Clinical Trial Design, with Frank Harrell
Publicerades: 2021-08-10 -
#44 Building Bayesian Models at scale, with Rémi Louf
Publicerades: 2021-07-22 -
#43 Modeling Covid19, with Michael Osthege & Thomas Vladeck
Publicerades: 2021-07-08 -
#42 How to Teach and Learn Bayesian Stats, with Mine Dogucu
Publicerades: 2021-06-24 -
#41 Thinking Bayes, with Allen Downey
Publicerades: 2021-06-14 -
#40 Bayesian Stats for the Speech & Language Sciences, with Allison Hilger and Timo Roettger
Publicerades: 2021-05-28 -
#39 Survival Models & Biostatistics for Cancer Research, with Jacki Buros
Publicerades: 2021-05-14
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!
