Learning Bayesian Statistics
Podcast tekijän mukaan Alexandre Andorra - Keskiviikkoisin
145 Jaksot
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#42 How to Teach and Learn Bayesian Stats, with Mine Dogucu
Julkaistiin: 24.6.2021 -
#41 Thinking Bayes, with Allen Downey
Julkaistiin: 14.6.2021 -
#40 Bayesian Stats for the Speech & Language Sciences, with Allison Hilger and Timo Roettger
Julkaistiin: 28.5.2021 -
#39 Survival Models & Biostatistics for Cancer Research, with Jacki Buros
Julkaistiin: 14.5.2021 -
#38 How to Become a Good Bayesian (& Rap Artist), with Baba Brinkman
Julkaistiin: 30.4.2021 -
#37 Prophet, Time Series & Causal Inference, with Sean Taylor
Julkaistiin: 16.4.2021 -
#36 Bayesian Non-Parametrics & Developing Turing.jl, with Martin Trapp
Julkaistiin: 30.3.2021 -
#35 The Past, Present & Future of BRMS, with Paul Bürkner
Julkaistiin: 12.3.2021 -
#34 Multilevel Regression, Post-stratification & Missing Data, with Lauren Kennedy
Julkaistiin: 25.2.2021 -
#33 Bayesian Structural Time Series, with Ben Zweig
Julkaistiin: 12.2.2021 -
#32 Getting involved into Bayesian Stats & Open-Source Development, with Peadar Coyle
Julkaistiin: 27.1.2021 -
#31 Bayesian Cognitive Modeling & Decision-Making, with Michael Lee
Julkaistiin: 5.1.2021 -
#30 Symbolic Computation & Dynamic Linear Models, with Brandon Willard
Julkaistiin: 18.12.2020 -
#29 Model Assessment, Non-Parametric Models, And Much More, with Aki Vehtari
Julkaistiin: 2.12.2020 -
#28 Game Theory, Industrial Organization & Policy Design, with Shosh Vasserman
Julkaistiin: 20.11.2020 -
#27 Modeling the US Presidential Elections, with Andrew Gelman & Merlin Heidemanns
Julkaistiin: 1.11.2020 -
#26 What you’ll learn & who you’ll meet at the PyMC Conference, with Ravin Kumar & Quan Nguyen
Julkaistiin: 24.10.2020 -
#25 Bayesian Stats in Football Analytics, with Kevin Minkus
Julkaistiin: 9.10.2020 -
#24 Bayesian Computational Biology in Julia, with Seth Axen
Julkaistiin: 24.9.2020 -
#23 Bayesian Stats in Business and Marketing Analytics, with Elea McDonnel Feit
Julkaistiin: 10.9.2020
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!
