Learning Bayesian Statistics
En podcast af Alexandre Andorra
Kategorier:
132 Episoder
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#117 Unveiling the Power of Bayesian Experimental Design, with Desi Ivanova
Udgivet: 15.10.2024 -
#116 Mastering Soccer Analytics, with Ravi Ramineni
Udgivet: 2.10.2024 -
#115 Using Time Series to Estimate Uncertainty, with Nate Haines
Udgivet: 17.9.2024 -
#114 From the Field to the Lab – A Journey in Baseball Science, with Jacob Buffa
Udgivet: 5.9.2024 -
#113 A Deep Dive into Bayesian Stats, with Alex Andorra, ft. the Super Data Science Podcast
Udgivet: 22.8.2024 -
#112 Advanced Bayesian Regression, with Tomi Capretto
Udgivet: 7.8.2024 -
#111 Nerdinsights from the Football Field, with Patrick Ward
Udgivet: 24.7.2024 -
#110 Unpacking Bayesian Methods in AI with Sam Duffield
Udgivet: 10.7.2024 -
#109 Prior Sensitivity Analysis, Overfitting & Model Selection, with Sonja Winter
Udgivet: 25.6.2024 -
#108 Modeling Sports & Extracting Player Values, with Paul Sabin
Udgivet: 14.6.2024 -
#107 Amortized Bayesian Inference with Deep Neural Networks, with Marvin Schmitt
Udgivet: 29.5.2024 -
#106 Active Statistics, Two Truths & a Lie, with Andrew Gelman
Udgivet: 16.5.2024 -
#105 The Power of Bayesian Statistics in Glaciology, with Andy Aschwanden & Doug Brinkerhoff
Udgivet: 2.5.2024 -
#104 Automated Gaussian Processes & Sequential Monte Carlo, with Feras Saad
Udgivet: 16.4.2024 -
#103 Improving Sampling Algorithms & Prior Elicitation, with Arto Klami
Udgivet: 5.4.2024 -
#102 Bayesian Structural Equation Modeling & Causal Inference in Psychometrics, with Ed Merkle
Udgivet: 20.3.2024 -
How to find black holes with Bayesian inference
Udgivet: 16.3.2024 -
How can we even hear gravitational waves?
Udgivet: 14.3.2024 -
#101 Black Holes Collisions & Gravitational Waves, with LIGO Experts Christopher Berry & John Veitch
Udgivet: 7.3.2024 -
The Role of Variational Inference in Reactive Message Passing
Udgivet: 1.3.2024
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!
