Learning Bayesian Statistics
Podcast autorstwa Alexandre Andorra
Kategorie:
132 Odcinki
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#89 Unlocking the Science of Exercise, Nutrition & Weight Management, with Eric Trexler
Opublikowany: 23.08.2023 -
#88 Bridging Computation & Inference in Artificial Intelligent Systems, with Philipp Hennig
Opublikowany: 10.08.2023 -
#87 Unlocking the Power of Bayesian Causal Inference, with Ben Vincent
Opublikowany: 30.07.2023 -
#86 Exploring Research Synchronous Languages & Hybrid Systems, with Guillaume Baudart
Opublikowany: 14.07.2023 -
#85 A Brief History of Sports Analytics, with Jim Albert
Opublikowany: 27.06.2023 -
#84 Causality in Neuroscience & Psychology, with Konrad Kording
Opublikowany: 13.06.2023 -
#83 Multilevel Regression, Post-Stratification & Electoral Dynamics, with Tarmo Jüristo
Opublikowany: 25.05.2023 -
#82 Sequential Monte Carlo & Bayesian Computation Algorithms, with Nicolas Chopin
Opublikowany: 5.05.2023 -
#81 Neuroscience of Perception: Exploring the Brain, with Alan Stocker
Opublikowany: 24.04.2023 -
#80 Bayesian Additive Regression Trees (BARTs), with Sameer Deshpande
Opublikowany: 11.04.2023 -
#79 Decision-Making & Cost Effectiveness Analysis for Health Economics, with Gianluca Baio
Opublikowany: 17.03.2023 -
#78 Exploring MCMC Sampler Algorithms, with Matt D. Hoffman
Opublikowany: 1.03.2023 -
#77 How a Simple Dress Helped Uncover Hidden Prejudices, with Pascal Wallisch
Opublikowany: 13.02.2023 -
#76 The Past, Present & Future of Stan, with Bob Carpenter
Opublikowany: 1.02.2023 -
#75 The Physics of Top Gun 2 Maverick, with Jason Berndt
Opublikowany: 20.01.2023 -
#74 Optimizing NUTS and Developing the ZeroSumNormal Distribution, with Adrian Seyboldt
Opublikowany: 5.01.2023 -
#73 A Guide to Plotting Inferences & Uncertainties of Bayesian Models, with Jessica Hullman
Opublikowany: 23.12.2022 -
#72 Why the Universe is so Deliciously Crazy, with Daniel Whiteson
Opublikowany: 3.12.2022 -
#71 Artificial Intelligence, Deepmind & Social Change, with Julien Cornebise
Opublikowany: 14.11.2022 -
#70 Teaching Bayes for Biology & Biological Engineering, with Justin Bois
Opublikowany: 22.10.2022
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!
