Learning Bayesian Statistics
Technology Podcasts
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 https://www.pymc-labs.io/ (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 https://docs.pymc.io/ (PyMC) and https://arviz-devs.github.io/arviz/ (ArviZ). I also love https://www.pollsposition.com/ (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 https://www.patreon.com/learnbayesstats (unlock exclusive Bayesian swag on Patreon)!
Location:
France
Genres:
Technology Podcasts
Description:
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 https://www.pymc-labs.io/ (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 https://docs.pymc.io/ (PyMC) and https://arviz-devs.github.io/arviz/ (ArviZ). I also love https://www.pollsposition.com/ (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 https://www.patreon.com/learnbayesstats (unlock exclusive Bayesian swag on Patreon)!
Twitter:
@alex_andorra
Language:
English
Contact:
+33660447360
Website:
https://www.learnbayesstats.com/
#105 The Power of Bayesian Statistics in Glaciology, with Andy Aschwanden & Doug Brinkerhoff
Duration:01:15:25
#104 Automated Gaussian Processes & Sequential Monte Carlo, with Feras Saad
Duration:01:30:48
#103 Improving Sampling Algorithms & Prior Elicitation, with Arto Klami
Duration:01:14:39
#102 Bayesian Structural Equation Modeling & Causal Inference in Psychometrics, with Ed Merkle
Duration:01:08:53
How to find black holes with Bayesian inference
Duration:00:12:13
How can we even hear gravitational waves?
Duration:00:08:59
#101 Black Holes Collisions & Gravitational Waves, with LIGO Experts Christopher Berry & John Veitch
Duration:01:09:54
The Role of Variational Inference in Reactive Message Passing
Duration:00:10:49
Reactive Message Passing in Bayesian Inference
Duration:00:08:49
#100 Reactive Message Passing & Automated Inference in Julia, with Dmitry Bagaev
Duration:00:54:42
The biggest misconceptions about Bayes & Quantum Physics
Duration:00:09:49
Why would you use Bayesian Statistics?
Duration:00:10:53
#99 Exploring Quantum Physics with Bayesian Stats, with Chris Ferrie
Duration:01:07:31
How do sampling algorithms scale?
Duration:00:09:26
Why choose new algorithms instead of HMC?
Duration:00:08:42
#98 Fusing Statistical Physics, Machine Learning & Adaptive MCMC, with Marylou Gabrié
Duration:01:05:07
Why Even Care About Science & Rationality
Duration:00:09:43
How To Get Into Causal Inference
Duration:00:10:01
#97 Probably Overthinking Statistical Paradoxes, with Allen Downey
Duration:01:12:36
How to Choose & Use Priors, with Daniel Lee
Duration:00:09:06