Learning Bayesian Statistics

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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)!

Recent Episodes
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    Jun 4, 2025 – 17:04
  • #133 Making Models More Efficient & Flexible, with Sean Pinkney & Adrian Seyboldt
    May 28, 2025 – 01:12:12
  • BITESIZE | How AI is Redefining Human Interactions, with Tom Griffiths
    May 21, 2025 – 22:06
  • #132 Bayesian Cognition and the Future of Human-AI Interaction, with Tom Griffiths
    May 13, 2025 – 01:30:15
  • BITESIZE | Hacking Bayesian Models for Better Performance, with Luke Bornn
    May 7, 2025 – 13:35
  • #131 Decision-Making Under High Uncertainty, with Luke Bornn
    Apr 30, 2025 – 01:31:46
  • BITESIZE | Real-World Applications of Models in Public Health, with Adam Kucharski
    Apr 23, 2025 – 16:26
  • #130 The Real-World Impact of Epidemiological Models, with Adam Kucharski
    Apr 16, 2025 – 01:09:05
  • BITESIZE | The Why & How of Bayesian Deep Learning, with Vincent Fortuin
    Apr 9, 2025 – 11:45
  • #129 Bayesian Deep Learning & AI for Science with Vincent Fortuin
    Apr 2, 2025 – 01:02:43
  • #128 Building a Winning Data Team in Football, with Matt Penn
    Mar 19, 2025 – 58:11
  • #127 Saving Sharks... with Python, Causal Inference and Aaron MacNeil
    Mar 5, 2025 – 01:04:08
  • #126 MMM, CLV & Bayesian Marketing Analytics, with Will Dean
    Feb 19, 2025 – 54:47
  • #125 Bayesian Sports Analytics & The Future of PyMC, with Chris Fonnesbeck
    Feb 5, 2025 – 58:15
  • #124 State Space Models & Structural Time Series, with Jesse Grabowski
    Jan 22, 2025 – 01:35:43
  • #123 BART & The Future of Bayesian Tools, with Osvaldo Martin
    Jan 10, 2025 – 01:32:13
  • #122 Learning and Teaching in the Age of AI, with Hugo Bowne-Anderson
    Dec 26, 2024 – 01:23:10
  • #121 Exploring Bayesian Structural Equation Modeling, with Nathaniel Forde
    Dec 11, 2024 – 01:08:13
  • #120 Innovations in Infectious Disease Modeling, with Liza Semenova & Chris Wymant
    Nov 27, 2024 – 01:01:39
  • #119 Causal Inference, Fiction Writing and Career Changes, with Robert Kubinec
    Nov 13, 2024 – 01:25:01
  • #118 Exploring the Future of Stan, with Charles Margossian & Brian Ward
    Oct 30, 2024 – 58:51
  • #117 Unveiling the Power of Bayesian Experimental Design, with Desi Ivanova
    Oct 15, 2024 – 01:13:12
  • #116 Mastering Soccer Analytics, with Ravi Ramineni
    Oct 2, 2024 – 01:32:46
  • #115 Using Time Series to Estimate Uncertainty, with Nate Haines
    Sep 17, 2024 – 01:39:51
  • #114 From the Field to the Lab – A Journey in Baseball Science, with Jacob Buffa
    Sep 5, 2024 – 01:01:32
  • #113 A Deep Dive into Bayesian Stats, with Alex Andorra, ft. the Super Data Science Podcast
    Aug 22, 2024 – 01:30:51
  • #112 Advanced Bayesian Regression, with Tomi Capretto
    Aug 7, 2024 – 01:27:19
  • #111 Nerdinsights from the Football Field, with Patrick Ward
    Jul 24, 2024 – 01:25:43
  • #110 Unpacking Bayesian Methods in AI with Sam Duffield
    Jul 10, 2024 – 01:12:27
  • #109 Prior Sensitivity Analysis, Overfitting & Model Selection, with Sonja Winter
    Jun 25, 2024 – 01:10:50
  • #108 Modeling Sports & Extracting Player Values, with Paul Sabin
    Jun 14, 2024 – 01:18:04
  • #107 Amortized Bayesian Inference with Deep Neural Networks, with Marvin Schmitt
    May 29, 2024 – 01:21:37
  • #106 Active Statistics, Two Truths & a Lie, with Andrew Gelman
    May 16, 2024 – 01:16:47
  • #105 The Power of Bayesian Statistics in Glaciology, with Andy Aschwanden & Doug Brinkerhoff
    May 2, 2024 – 01:15:25
  • #104 Automated Gaussian Processes & Sequential Monte Carlo, with Feras Saad
    Apr 16, 2024 – 01:30:48
  • #103 Improving Sampling Algorithms & Prior Elicitation, with Arto Klami
    Apr 5, 2024 – 01:14:39
  • #102 Bayesian Structural Equation Modeling & Causal Inference in Psychometrics, with Ed Merkle
    Mar 20, 2024 – 01:08:53
  • How to find black holes with Bayesian inference
    Mar 16, 2024 – 12:13
  • How can we even hear gravitational waves?
    Mar 14, 2024 – 08:59
  • #101 Black Holes Collisions & Gravitational Waves, with LIGO Experts Christopher Berry & John Veitch
    Mar 7, 2024 – 01:09:54
  • The Role of Variational Inference in Reactive Message Passing
    Mar 1, 2024 – 10:49
  • Reactive Message Passing in Bayesian Inference
    Feb 28, 2024 – 08:49
  • #100 Reactive Message Passing & Automated Inference in Julia, with Dmitry Bagaev
    Feb 21, 2024 – 54:42
  • The biggest misconceptions about Bayes & Quantum Physics
    Feb 16, 2024 – 09:49
  • Why would you use Bayesian Statistics?
    Feb 14, 2024 – 10:53
  • #99 Exploring Quantum Physics with Bayesian Stats, with Chris Ferrie
    Feb 9, 2024 – 01:07:31
  • How do sampling algorithms scale?
    Feb 5, 2024 – 09:26
  • Why choose new algorithms instead of HMC?
    Feb 4, 2024 – 08:42
  • #98 Fusing Statistical Physics, Machine Learning & Adaptive MCMC, with Marylou Gabrié
    Jan 24, 2024 – 01:05:07
  • Why Even Care About Science & Rationality
    Jan 20, 2024 – 09:43
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