Learning Bayesian Statistics

Q: How do I contact Learning Bayesian Statistics for sponsorship or guest appearances?

Sign up on Grep.FM to access contact details for Learning Bayesian Statistics, including email and social media links.

Alexandre Andorra

English Education Science Technology

Website RSS

Episodes 182

Avg. Duration 1h 3m

Activity Highly Active

Since Sep 2019

Latest Episode Dec 2025

Outreach Signals

Open to Sponsors

Publishing Details

Schedule

Weekly

Format

Episodic

Consistency

94%

Hosting

feeds.captivate.fm

Contact & Outreach

About This Podcast

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)!

Podcasting 2.0 Features

alternateEnclosure episode funding medium season source transcript

Social Media

Explore Statistics

English Podcasts Report Education Report Science Report Technology Report English Education Report

Recent Episodes

BITESIZE | Making Variational Inference Reliable: From ADVI to DADVI

Dec 17, 2025 21m Bonus Transcript

Today’s clip is from episode 147 of the podcast, with Martin Ingram.Alex and Martin discuss the intricacies of variational inference, particularly focusing on the ADVI method and its challenges. They…

S1E147 #147 Fast Approximate Inference without Convergence Worries, with Martin Ingram

Dec 12, 2025 1h 9m Transcript

Proudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch!Intro to Bayes Course (first 2 lessons free)Advanced Regression Course (first 2 lessons free)Our theme music is…

BITESIZE | Why Bayesian Stats Matter When the Physics Gets Extreme

Dec 05, 2025 19m Bonus Transcript

Today’s clip is from episode 146 of the podcast, with Ethan Smith.Alex and Ethan discuss the application of Bayesian inference in high energy density physics, particularly in analyzing complex data…

S1E146 #146 Lasers, Planets, and Bayesian Inference, with Ethan Smith

Nov 27, 2025 1h 35m Transcript

BITESIZE | How to Thrive in an AI-Driven Workplace?

Nov 20, 2025 19m Bonus Transcript

Today’s clip is from episode 145 of the podcast, with Jordan Thibodeau.Alexandre Andorra and Jordan Thibodeau discuss the transformative impact of AI on productivity, career opportunities in the…

S1E145 #145 Career Advice in the Age of AI, with Jordan Thibodeau

Nov 12, 2025 1h 52m Transcript

BITESIZE | Why is Bayesian Deep Learning so Powerful?

Nov 05, 2025 19m Bonus Transcript

Today’s clip is from episode 144 of the podcast, with Maurizio Filippone.In this conversation, Alex and Maurizio delve into the intricacies of Gaussian processes and their deep learning counterparts.…

S1E144 #144 Why is Bayesian Deep Learning so Powerful, with Maurizio Filippone

Oct 30, 2025 1h 28m Transcript

Sign up for Alex's first live cohort, about Hierarchical Model building!Get 25% off "Building AI Applications for Data Scientists and Software Engineers"Proudly sponsored by PyMC Labs, the Bayesian…

BITESIZE | Are Bayesian Models the Missing Ingredient in Nutrition Research?

Oct 23, 2025 23m Bonus Transcript

Sign up for Alex's first live cohort, about Hierarchical Model buildingSoccer Factor Model DashboardToday’s clip is from episode 143 of the podcast, with Christoph Bamberg.Christoph shares his…

S1E143 #143 Transforming Nutrition Science with Bayesian Methods, with Christoph Bamberg

Oct 15, 2025 1h 12m Transcript

Sign up for Alex's first live cohort, about Hierarchical Model building!Proudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch!Intro to Bayes Course (first 2 lessons…

BITESIZE | How Bayesian Additive Regression Trees Work in Practice

Oct 09, 2025 22m Bonus Transcript

Soccer Factor Model DashboardUnveiling True Talent: The Soccer Factor Model for Skill EvaluationLBS #91, Exploring European Football Analytics, with Max GöbelGet early access to Alex's next…

S1E142 #142 Bayesian Trees & Deep Learning for Optimization & Big Data, with Gabriel Stechschulte

Oct 02, 2025 1h 10m Transcript

Proudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch!Get early access to Alex's next live-cohort courses!Intro to Bayes Course (first 2 lessons free)Advanced…

BITESIZE | How Probability Becomes Causality?

Sep 24, 2025 22m Bonus Transcript

Get early access to Alex's next live-cohort courses!Today’s clip is from episode 141 of the podcast, with Sam Witty.Alex and Sam discuss the ChiRho project, delving into the intricacies of causal…

S1E141 #141 AI Assisted Causal Inference, with Sam Witty

Sep 18, 2025 1h 37m Transcript

Proudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch!Get early access to Alex's next live-cohort courses!Enroll in the Causal AI workshop, to learn live with Alex…

BITESIZE | How to Think Causally About Your Models?

Sep 10, 2025 24m Bonus Transcript

Get early access to Alex's next live-cohort courses!Today’s clip is from episode 140 of the podcast, with Ron Yurko.Alex and Ron discuss the challenges of model deployment, and the complexities of…

S1E140 #140 NFL Analytics & Teaching Bayesian Stats, with Ron Yurko

Sep 03, 2025 1h 33m Transcript

Get early access to Alex's next live-cohort courses!Proudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch!Intro to Bayes Course (first 2 lessons free)Advanced…

BITESIZE | Is Bayesian Optimization the Answer?

Aug 27, 2025 25m Bonus Transcript

Today’s clip is from episode 139 of the podcast, with with Max Balandat.Alex and Max discuss the integration of BoTorch with PyTorch, exploring its applications in Bayesian optimization and Gaussian…

S1E139 #139 Efficient Bayesian Optimization in PyTorch, with Max Balandat

Aug 20, 2025 1h 25m Transcript

BITESIZE | What's Missing in Bayesian Deep Learning?

Aug 13, 2025 20m Bonus Transcript

Today’s clip is from episode 138 of the podcast, with Mélodie Monod, François-Xavier Briol and Yingzhen Li.During this live show at Imperial College London, Alex and his guests delve into the…

S1E138 #138 Quantifying Uncertainty in Bayesian Deep Learning, Live from Imperial College London

Aug 06, 2025 1h 23m Transcript

Frequently Asked Questions

How many episodes does Learning Bayesian Statistics have?

Learning Bayesian Statistics has published 182 episodes since September 2019, covering topics in Education, Science.

Is Learning Bayesian Statistics still active?

Learning Bayesian Statistics is currently highly active with new episodes weekly. Average episode length is 1h 3m.

How do I contact Learning Bayesian Statistics for sponsorship or guest appearances?