Learning Bayesian Statistics
En podcast av Alexandre Andorra - Onsdagar
Kategorier:
141 Avsnitt
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#126 MMM, CLV & Bayesian Marketing Analytics, with Will Dean
Publicerades: 2025-02-19 -
#125 Bayesian Sports Analytics & The Future of PyMC, with Chris Fonnesbeck
Publicerades: 2025-02-05 -
#124 State Space Models & Structural Time Series, with Jesse Grabowski
Publicerades: 2025-01-22 -
#123 BART & The Future of Bayesian Tools, with Osvaldo Martin
Publicerades: 2025-01-10 -
#122 Learning and Teaching in the Age of AI, with Hugo Bowne-Anderson
Publicerades: 2024-12-26 -
#121 Exploring Bayesian Structural Equation Modeling, with Nathaniel Forde
Publicerades: 2024-12-11 -
#120 Innovations in Infectious Disease Modeling, with Liza Semenova & Chris Wymant
Publicerades: 2024-11-27 -
#119 Causal Inference, Fiction Writing and Career Changes, with Robert Kubinec
Publicerades: 2024-11-13 -
#118 Exploring the Future of Stan, with Charles Margossian & Brian Ward
Publicerades: 2024-10-30 -
#117 Unveiling the Power of Bayesian Experimental Design, with Desi Ivanova
Publicerades: 2024-10-15 -
#116 Mastering Soccer Analytics, with Ravi Ramineni
Publicerades: 2024-10-02 -
#115 Using Time Series to Estimate Uncertainty, with Nate Haines
Publicerades: 2024-09-17 -
#114 From the Field to the Lab – A Journey in Baseball Science, with Jacob Buffa
Publicerades: 2024-09-05 -
#113 A Deep Dive into Bayesian Stats, with Alex Andorra, ft. the Super Data Science Podcast
Publicerades: 2024-08-22 -
#112 Advanced Bayesian Regression, with Tomi Capretto
Publicerades: 2024-08-07 -
#111 Nerdinsights from the Football Field, with Patrick Ward
Publicerades: 2024-07-24 -
#110 Unpacking Bayesian Methods in AI with Sam Duffield
Publicerades: 2024-07-10 -
#109 Prior Sensitivity Analysis, Overfitting & Model Selection, with Sonja Winter
Publicerades: 2024-06-25 -
#108 Modeling Sports & Extracting Player Values, with Paul Sabin
Publicerades: 2024-06-14 -
#107 Amortized Bayesian Inference with Deep Neural Networks, with Marvin Schmitt
Publicerades: 2024-05-29
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!
