Learning Bayesian Statistics
A podcast by Alexandre Andorra
Categorie:
132 Episodio
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#117 Unveiling the Power of Bayesian Experimental Design, with Desi Ivanova
Pubblicato: 15/10/2024 -
#116 Mastering Soccer Analytics, with Ravi Ramineni
Pubblicato: 02/10/2024 -
#115 Using Time Series to Estimate Uncertainty, with Nate Haines
Pubblicato: 17/09/2024 -
#114 From the Field to the Lab – A Journey in Baseball Science, with Jacob Buffa
Pubblicato: 05/09/2024 -
#113 A Deep Dive into Bayesian Stats, with Alex Andorra, ft. the Super Data Science Podcast
Pubblicato: 22/08/2024 -
#112 Advanced Bayesian Regression, with Tomi Capretto
Pubblicato: 07/08/2024 -
#111 Nerdinsights from the Football Field, with Patrick Ward
Pubblicato: 24/07/2024 -
#110 Unpacking Bayesian Methods in AI with Sam Duffield
Pubblicato: 10/07/2024 -
#109 Prior Sensitivity Analysis, Overfitting & Model Selection, with Sonja Winter
Pubblicato: 25/06/2024 -
#108 Modeling Sports & Extracting Player Values, with Paul Sabin
Pubblicato: 14/06/2024 -
#107 Amortized Bayesian Inference with Deep Neural Networks, with Marvin Schmitt
Pubblicato: 29/05/2024 -
#106 Active Statistics, Two Truths & a Lie, with Andrew Gelman
Pubblicato: 16/05/2024 -
#105 The Power of Bayesian Statistics in Glaciology, with Andy Aschwanden & Doug Brinkerhoff
Pubblicato: 02/05/2024 -
#104 Automated Gaussian Processes & Sequential Monte Carlo, with Feras Saad
Pubblicato: 16/04/2024 -
#103 Improving Sampling Algorithms & Prior Elicitation, with Arto Klami
Pubblicato: 05/04/2024 -
#102 Bayesian Structural Equation Modeling & Causal Inference in Psychometrics, with Ed Merkle
Pubblicato: 20/03/2024 -
How to find black holes with Bayesian inference
Pubblicato: 16/03/2024 -
How can we even hear gravitational waves?
Pubblicato: 14/03/2024 -
#101 Black Holes Collisions & Gravitational Waves, with LIGO Experts Christopher Berry & John Veitch
Pubblicato: 07/03/2024 -
The Role of Variational Inference in Reactive Message Passing
Pubblicato: 01/03/2024
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!
