Pierre-Simon Laplace

A #podcast on #Bayesian #Statistics -- the methods, the projects, the people

By Alexandre Andorra

#StatsTodon #BayesianStats #Science

Pierre-Simon LaplaceLearnBayesStats@mstdn.science
2025-06-18

Your model says 97% confidence
But should you trust it?

Uncertainty in ML is still a hard problem

Weโ€™re hosting a meetup at Imperial College London on June 24 to dig into it โ€” with our host Alex Andorra and other researchers working on better ways forward

๐Ÿ”— lnkd.in/eainEJ9p

Pierre-Simon LaplaceLearnBayesStats@mstdn.science
2025-06-13

Some people think Rยฒ doesnโ€™t belong in Bayesian models
๐Ÿ‘‡ David Kohns disagrees, and he has the math to back it

๐ŸŽ™๏ธIn this episode Alex Andorra sits down with economist David Kohns to explore how modern Bayesian methods are reshaping time series modelling

๐ŸŽง Listen now: learnbayesstats.com/episode/13

Pierre-Simon LaplaceLearnBayesStats@mstdn.science
2025-05-30

๐ŸŽ™๏ธ Ep. 133 is out now!

Alex Andorra chats with โ€ช Sean P
& Adrian Seyboldt about making Bayesian models more efficient without losing rigor โ€” zero-sum constraints, Cholesky tricks, practical wins & more

๐ŸŽง learnbayesstats.com/episode/13

#Bayesianstats #podcast #LBS

Pierre-Simon LaplaceLearnBayesStats@mstdn.science
2025-05-15

๐ŸŽ™๏ธ In episode #132 of Learning Bayesian Statistics, Alex Andorra speaks with Tom Griffiths about ๐—•๐—ฎ๐˜†๐—ฒ๐˜€๐—ถ๐—ฎ๐—ป ๐—ฐ๐—ผ๐—ด๐—ป๐—ถ๐˜๐—ถ๐—ผ๐—ป ๐—ฎ๐—ป๐—ฑ ๐˜๐—ต๐—ฒ ๐—ณ๐˜‚๐˜๐˜‚๐—ฟ๐—ฒ ๐—ผ๐—ณ ๐—ต๐˜‚๐—บ๐—ฎ๐—ป-๐—”๐—œ ๐—ถ๐—ป๐˜๐—ฒ๐—ฟ๐—ฎ๐—ฐ๐˜๐—ถ๐—ผ๐—ป.

๐Ÿ”‘ ๐—ž๐—ฒ๐˜† ๐—ฝ๐—ผ๐—ถ๐—ป๐˜๐˜€ ๐—ณ๐—ฟ๐—ผ๐—บ ๐˜๐—ต๐—ฒ ๐—ฐ๐—ผ๐—ป๐˜ƒ๐—ฒ๐—ฟ๐˜€๐—ฎ๐˜๐—ถ๐—ผ๐—ป:

๐Ÿง  ๐—–๐—ผ๐—บ๐—ฝ๐˜‚๐˜๐—ฎ๐˜๐—ถ๐—ผ๐—ป๐—ฎ๐—น ๐—ฐ๐—ผ๐—ด๐—ป๐—ถ๐˜๐—ถ๐˜ƒ๐—ฒ ๐˜€๐—ฐ๐—ถ๐—ฒ๐—ป๐—ฐ๐—ฒ uses math to model intelligence

๐Ÿ“Š ๐—•๐—ฎ๐˜†๐—ฒ๐˜€๐—ถ๐—ฎ๐—ป ๐—ถ๐—ป๐—ณ๐—ฒ๐—ฟ๐—ฒ๐—ป๐—ฐ๐—ฒ ๐—ถ๐˜€ ๐—ฐ๐—ฒ๐—ป๐˜๐—ฟ๐—ฎ๐—น to how humans learn and reason

๐Ÿงฉ ๐—œ๐—ป๐—ฑ๐˜‚๐—ฐ๐˜๐—ถ๐˜ƒ๐—ฒ ๐—ฏ๐—ถ๐—ฎ๐˜€๐—ฒ๐˜€ ๐—ฒ๐˜…๐—ฝ๐—น๐—ฎ๐—ถ๐—ป how we generalize from limited data

๐ŸŽฏ ๐—ฃ๐—ฟ๐—ถ๐—ผ๐—ฟ ๐—ฒ๐—น๐—ถ๐—ฐ๐—ถ๐˜๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—ฟ๐—ฒ๐˜ƒ๐—ฒ๐—ฎ๐—น๐˜€ implicit beliefs behind decisions

and more ...

๐ŸŽงlearnbayesstats.com/episode/13

Pierre-Simon LaplaceLearnBayesStats@mstdn.science
2025-05-02

โšฝ๏ธ New Learning Bayesian Stats ep!

Alex Andorra & Luke Bornn dive into how tracking data, probabilistic models & optimization are reshaping sports decisions.

๐ŸŽง Listen now: learnbayesstats.com/episode/13

#Datascience #Optimization #SportsAnalytics #BayesStats
#Decisionmaking

Pierre-Simon LaplaceLearnBayesStats@mstdn.science
2025-04-17

๐Ÿงฌ What does real-world impact look like when public healthโ€™s on the line?

๐ŸŽ™๏ธ In episode 130 of LBS, Alex Andorra chats with Adam Kucharski on modelling, crisis response & lessons from recent epidemics.

๐ŸŽง Listen in: learnbayesstats.com/episode/13

Pierre-Simon LaplaceLearnBayesStats@mstdn.science
2025-04-03

What if AI could know when it doesnโ€™t know?

๐ŸŽ™๏ธ Alex Andorra talks with Vincent Fortuin about Bayesian deep learningโ€”why it matters for uncertainty, calibration, and real-world reliability.

๐ŸŽง Tune in: learnbayesstats.com/episode/12

#BayesianDeepLearning #MachineLearning #ReliableAI #AIResearch

Pierre-Simon LaplaceLearnBayesStats@mstdn.science
2025-03-20

โšฝ Football is more than tactics and talentโ€”it's driven by ๐๐š๐ญ๐š. From ๐ฉ๐ฅ๐š๐ฒ๐ž๐ซ ๐ซ๐ž๐œ๐ซ๐ฎ๐ข๐ญ๐ฆ๐ž๐ง๐ญ to ๐ฆ๐š๐ญ๐œ๐ก ๐š๐ง๐š๐ฅ๐ฒ๐ฌ๐ข๐ฌ, data science gives clubs a winning edge.

๐ŸŽง In the latest episode, Alex Andorra sits down with Matthew Penn to break it all down:

๐Ÿ‘‰learnbayesstats.com/episode/12

#FootballAnalytics #DataScience #SportsTech #Recruitment #BayesianStatistics #FootballData

Pierre-Simon LaplaceLearnBayesStats@mstdn.science
2025-03-09

๐ŸŒŠ ๐’๐ก๐š๐ซ๐ค๐ฌ, ๐๐ฒ๐ญ๐ก๐จ๐ง, ๐š๐ง๐ ๐‚๐š๐ฎ๐ฌ๐š๐ฅ ๐ˆ๐ง๐Ÿ๐ž๐ซ๐ž๐ง๐œ๐ž? ๐˜๐ž๐ฌ, ๐ฒ๐จ๐ฎ ๐ซ๐ž๐š๐ ๐ญ๐ก๐š๐ญ ๐ซ๐ข๐ ๐ก๐ญ!

๐ŸŽง In this episode, with Aaron MacNeil and Alex Andorra, we dive deep (pun intended) into how advanced statistical methods play a surprising role in ocean conservation

๐Ÿ”—learnbayesstats.com/episode/12

#Ecology

Pierre-Simon LaplaceLearnBayesStats@mstdn.science
2025-02-28

โšพ Christopher Fonnesbeck (PyMC Labs, PyMC) will be at the Field of Play Conference giving a talk on Bayesian modelling in baseball.

๐Ÿ˜Ž Our host, Alexandre Andorra will also be attending, donโ€™t miss this chance to connect and chat research!

๐Ÿ”— fieldofplay.co.uk/

Pierre-Simon LaplaceLearnBayesStats@mstdn.science
2025-02-20

๐Ÿ“ข Episode 126 is Live!

๐ŸŽง Listen now ๐Ÿ‘‰ learnbayesstats.com/episode/12

๐ŸŽ™๏ธ In this episode with
Alex Andorra, Will Dean from
PyMC-Labs explains how Bayesian methods are reshaping marketing analytics, from MMM to CLV estimation and more ....

#BayesianMarketing #MMM #CLV #MarketingAnalytics #MachineLearning #ProbabilisticProgramming #DataScience #PyMC #Marketing

Pierre-Simon LaplaceLearnBayesStats@mstdn.science
2025-02-06

๐Ÿ”ฎ ๐๐š๐ฒ๐ž๐ฌ๐ข๐š๐ง ๐’๐ฉ๐จ๐ซ๐ญ๐ฌ ๐€๐ง๐š๐ฅ๐ฒ๐ญ๐ข๐œ๐ฌ ๐ข๐ฌ ๐‚๐ก๐š๐ง๐ ๐ข๐ง๐  ๐ญ๐ก๐ž ๐†๐š๐ฆ๐ž!

๐ŸŽ™๏ธ In this episode, Alex Andorra and Christopher Fonnesbeck break down how Bayesian methods are revolutionizing sports analytics and why the smartest teams are embracing them

๐ŸŽง ๐‹๐ข๐ฌ๐ญ๐ž๐ง ๐ง๐จ๐ฐ๐Ÿ‘‰ learnbayesstats.com/episode/12

#LBS

Pierre-Simon LaplaceLearnBayesStats@mstdn.science
2025-01-31

๐Ÿฅณ๐–๐ž ๐ฆ๐š๐๐ž ๐ข๐ญ ๐ญ๐จ ๐ญ๐ก๐ž ๐“๐Ž๐ 15!

๐Ÿ† Weโ€™re beyond excited to share that ๐‹๐ž๐š๐ซ๐ง๐ข๐ง๐  ๐๐š๐ฒ๐ž๐ฌ๐ข๐š๐ง ๐’๐ญ๐š๐ญ๐ข๐ฌ๐ญ๐ข๐œ๐ฌ has been recognized as one of the Top 15 Statistics Podcasts by Feedspot!

๐Ÿ™ Thanks to our guests for sharing their knowledge, and of course, to all of you for tuning in, sending feedback!

#LearningBayesianStatistics #podcast #awards #datascience #machinelearning

Pierre-Simon LaplaceLearnBayesStats@mstdn.science
2025-01-24

๐Ÿ”ด ๐‡๐จ๐ฐ ๐“๐จ ๐…๐จ๐œ๐ฎ๐ฌ ๐Ž๐ง ๐–๐ก๐š๐ญ ๐Œ๐š๐ญ๐ญ๐ž๐ซ๐ฌ ๐ˆ๐ง ๐“๐ข๐ฆ๐ž ๐’๐ž๐ซ๐ข๐ž๐ฌ ๐…๐จ๐ซ๐ž๐œ๐š๐ฌ๐ญ๐ข๐ง๐ 
๐Ÿ”— learnbayesstats.com/episode/12

โœ… ๐ˆ๐ง ๐ญ๐ก๐ข๐ฌ ๐„๐ฉ๐ข๐ฌ๐จ๐๐ž, ๐ฒ๐จ๐ฎโ€™๐ฅ๐ฅ ๐ฅ๐ž๐š๐ซ๐ง ๐ก๐จ๐ฐ ๐ญ๐จ ๐š๐œ๐ก๐ข๐ž๐ฏ๐ž ๐ญ๐ก๐š๐ญ with @pymc

Alex Andorra & Jesse Grabowski talk about state space models, simplifying forecasting, applications etc.

#LearningBayesianStatistics #PyMC #forecasting #timeseries

Pierre-Simon LaplaceLearnBayesStats@mstdn.science
2025-01-21

LBS is now offering YouTube Memberships!

๐Ÿ‘‡ Hereโ€™s what this means for you:

โœ… AMA & Community Access: Join private sessions & our exclusive Discord server!

โœ… Insider Perks: Preview upcoming episodes & co-host an episode with Alex Andorra

๐Ÿ˜Ž Join here
youtube.com/@learningbayesians

Pierre-Simon LaplaceLearnBayesStats@mstdn.science
2025-01-11

๐Ÿ’ฏWhat if Bayesian modelling could be faster, more flexible, and easier to interpret?
๐ŸŽงyoutu.be/7POdNknJ1Es?si=0TSEkC

๐ŸŽ™๏ธ Episode 123 is here!
Alex Andorra chats with @aloctavodia about groundbreaking tools and ideas that are shaping the future of Bayesian workflows.

Pierre-Simon LaplaceLearnBayesStats@mstdn.science
2024-12-27

๐Ÿ“ข Episode 122 is Live!
๐ŸŽงlearnbayesstats.com/episode/12

๐ŸŽ™๏ธ In this episode of LBS, Alexandre Andorra chats with Hugo Bowne-Anderson about Learning and Teaching in the Age of AI!

#LearningBayesianStatistics #AI

Pierre-Simon LaplaceLearnBayesStats@mstdn.science
2024-12-14

๐ŸŽ™๏ธ Episode #121 is live!
๐ŸŽงlearnbayesstats.com/episode/12

In this episode, Alex Andorra & Nathaniel Forde talk about:

๐Ÿ“Š The flexibility of Bayesian approaches in modelling, key steps in model validation.

โš–๏ธ Balancing model complexity, factor analysis and more...

Pierre-Simon LaplaceLearnBayesStats@mstdn.science
2024-11-30

๐Ÿ“ข Episode 120 is Live!

learnbayesstats.com/episodes/8

๐ŸŽ™๏ธ In this LBS episode, Alexandre Andorra, Liza Semenova, and Chris Wymant explore the intersection of epidemiology, Bayesian statistics, and data science!

#LearningBayesianStatistics #Bayesian

Pierre-Simon LaplaceLearnBayesStats@mstdn.science
2024-03-22

๐Ÿ“ข Episode 102 is out!
In this episode, we are joined by Professor Ed Merkle, professor of psychological sciences at the University of Missouri.
We cover Psychometrics, Bayesian Structural Equation Models, Causal Inference, the blavaan R package & more!
๐ŸŽงlearnbayesstats.com/episode/10

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