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 Paris. 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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Mixed Effects Models & Beautiful Plots, with TJ Mahr
In short, TJ wrangles data, crunches numbers, plots pictures, and fits models to study how children learn to speak and communicate. On his website, he often writes about Bayesian models, mixed effects models, functional programming in R, or how to plot certain kinds of data.
Bayes in Physics & Astrophysics, with JJ Ruby
What Bayesian stats bring to physics, and what physics brings to Bayesian stats
Silly & Empowering Statistics, with Chelsea Parlett-Pelleriti
How to empower people to do their own statistical analyses, and how to use statistics on behavioral data
Biostats & Clinical Trial Design, with Frank Harrell
A deep and broad conversation about predictive models, model validation, Bayesian clinical trial design and Bayesian models, drug development, and clinical research
Building Bayesian Models at scale, with Rémi Louf
Going from physics to philosophy to Bayes, working on open-source projects, and developing Bayesian models at scale
Modeling Covid19, with Michael Osthege & Thomas Vladeck
Why modeling Covid is so challenging, fascinating, and... a wonderful example of Bayesian generative modeling!