Pierre-Simon Laplace
@learnbayesstats.bsky.social
A podcast on #BayesianStats -- the methods, the projects, the people
By @alex-andorra.bsky.social
Listen: http://tinyurl.com/pvz4ekky
Support: http://tinyurl.com/2p8mpxnp
By @alex-andorra.bsky.social
Listen: http://tinyurl.com/pvz4ekky
Support: http://tinyurl.com/2p8mpxnp
Bayesian deep learning helps ML models understand their uncertainty
In this episode @alex-andorra.bsky.social talks with Maurizio Filippone about Gaussian Processes, scalable inference, MCMC, and Bayesian deep learning at scale
🎧 learnbayesstats.com/episode/144-...
#BayesianStats #AI #ML #Bayes
In this episode @alex-andorra.bsky.social talks with Maurizio Filippone about Gaussian Processes, scalable inference, MCMC, and Bayesian deep learning at scale
🎧 learnbayesstats.com/episode/144-...
#BayesianStats #AI #ML #Bayes
November 1, 2025 at 4:14 PM
Bayesian deep learning helps ML models understand their uncertainty
In this episode @alex-andorra.bsky.social talks with Maurizio Filippone about Gaussian Processes, scalable inference, MCMC, and Bayesian deep learning at scale
🎧 learnbayesstats.com/episode/144-...
#BayesianStats #AI #ML #Bayes
In this episode @alex-andorra.bsky.social talks with Maurizio Filippone about Gaussian Processes, scalable inference, MCMC, and Bayesian deep learning at scale
🎧 learnbayesstats.com/episode/144-...
#BayesianStats #AI #ML #Bayes
🍽️ Can better nutrition science come from better statistics?
In the latest episode, @alex-andorra.bsky.social chats with Christoph Bamberg about using a Bayesian mindset to make psychology & nutrition research more transparent and actionable
🎧 learnbayesstats.com/episode/143-...
#bayes #nutrition
In the latest episode, @alex-andorra.bsky.social chats with Christoph Bamberg about using a Bayesian mindset to make psychology & nutrition research more transparent and actionable
🎧 learnbayesstats.com/episode/143-...
#bayes #nutrition
October 17, 2025 at 4:09 PM
🍽️ Can better nutrition science come from better statistics?
In the latest episode, @alex-andorra.bsky.social chats with Christoph Bamberg about using a Bayesian mindset to make psychology & nutrition research more transparent and actionable
🎧 learnbayesstats.com/episode/143-...
#bayes #nutrition
In the latest episode, @alex-andorra.bsky.social chats with Christoph Bamberg about using a Bayesian mindset to make psychology & nutrition research more transparent and actionable
🎧 learnbayesstats.com/episode/143-...
#bayes #nutrition
🤔How do you keep Bayesian rigor when the data’s too big to behave?
@gstechschulte.bsky.social joins @alex-andorra.bsky.social on Learning Bayesian Statistics to talk BART and how they’re bridging classic stats with modern, large-scale systems.
🎧 Listen here: learnbayesstats.com/episode/142-...
@gstechschulte.bsky.social joins @alex-andorra.bsky.social on Learning Bayesian Statistics to talk BART and how they’re bridging classic stats with modern, large-scale systems.
🎧 Listen here: learnbayesstats.com/episode/142-...
October 6, 2025 at 4:27 PM
🤔How do you keep Bayesian rigor when the data’s too big to behave?
@gstechschulte.bsky.social joins @alex-andorra.bsky.social on Learning Bayesian Statistics to talk BART and how they’re bridging classic stats with modern, large-scale systems.
🎧 Listen here: learnbayesstats.com/episode/142-...
@gstechschulte.bsky.social joins @alex-andorra.bsky.social on Learning Bayesian Statistics to talk BART and how they’re bridging classic stats with modern, large-scale systems.
🎧 Listen here: learnbayesstats.com/episode/142-...
🧪 Causal inference is about understanding why things happen, not just what
@alex-andorra.bsky.social talks with Sam Witty about ChiRho & how probabilistic programming is reshaping interventions, counterfactuals, and the future of causal reasoning
🎧 learnbayesstats.com/episode/141-...
#newepisode
@alex-andorra.bsky.social talks with Sam Witty about ChiRho & how probabilistic programming is reshaping interventions, counterfactuals, and the future of causal reasoning
🎧 learnbayesstats.com/episode/141-...
#newepisode
September 20, 2025 at 3:53 PM
🧪 Causal inference is about understanding why things happen, not just what
@alex-andorra.bsky.social talks with Sam Witty about ChiRho & how probabilistic programming is reshaping interventions, counterfactuals, and the future of causal reasoning
🎧 learnbayesstats.com/episode/141-...
#newepisode
@alex-andorra.bsky.social talks with Sam Witty about ChiRho & how probabilistic programming is reshaping interventions, counterfactuals, and the future of causal reasoning
🎧 learnbayesstats.com/episode/141-...
#newepisode
🏈 NFL meets Bayesian stats!
In this episode @alex-andorra.bsky.social chats with Ron Yurko on
👉 Writing your own models
👉 Building a sports analytics portfolio
👉 Pitfalls of modelling expectations
👉 Using tracking data for player insights
👉 Causal thinking in football data
🎧 lnkd.in/gWz4v2JG
In this episode @alex-andorra.bsky.social chats with Ron Yurko on
👉 Writing your own models
👉 Building a sports analytics portfolio
👉 Pitfalls of modelling expectations
👉 Using tracking data for player insights
👉 Causal thinking in football data
🎧 lnkd.in/gWz4v2JG
September 9, 2025 at 5:42 PM
🏈 NFL meets Bayesian stats!
In this episode @alex-andorra.bsky.social chats with Ron Yurko on
👉 Writing your own models
👉 Building a sports analytics portfolio
👉 Pitfalls of modelling expectations
👉 Using tracking data for player insights
👉 Causal thinking in football data
🎧 lnkd.in/gWz4v2JG
In this episode @alex-andorra.bsky.social chats with Ron Yurko on
👉 Writing your own models
👉 Building a sports analytics portfolio
👉 Pitfalls of modelling expectations
👉 Using tracking data for player insights
👉 Causal thinking in football data
🎧 lnkd.in/gWz4v2JG
What if your optimization algorithm could explain its uncertainty as clearly as its results?” 🤔
In this episode🎙️ @alex-andorra.bsky.social dives into Bayesian optimization, BoTorch, and why uncertainty matters with Maximilian Balandat
🎧 Listen here: lnkd.in/gg6fcfFU
#bayesian #pytorch #podcast
In this episode🎙️ @alex-andorra.bsky.social dives into Bayesian optimization, BoTorch, and why uncertainty matters with Maximilian Balandat
🎧 Listen here: lnkd.in/gg6fcfFU
#bayesian #pytorch #podcast
August 22, 2025 at 4:02 PM
What if your optimization algorithm could explain its uncertainty as clearly as its results?” 🤔
In this episode🎙️ @alex-andorra.bsky.social dives into Bayesian optimization, BoTorch, and why uncertainty matters with Maximilian Balandat
🎧 Listen here: lnkd.in/gg6fcfFU
#bayesian #pytorch #podcast
In this episode🎙️ @alex-andorra.bsky.social dives into Bayesian optimization, BoTorch, and why uncertainty matters with Maximilian Balandat
🎧 Listen here: lnkd.in/gg6fcfFU
#bayesian #pytorch #podcast
Your deep learning model might be confidently wrong — and in medicine or epidemiology, that’s dangerous.
In this episode, @alex-andorra.bsky.social chats with Mélodie Monod, François-Xavier & Yingzhen Li about making neural nets more reliable, Bayesian LLMs & more
🎧 lnkd.in/gcaRQXcb
#bayes #llm
In this episode, @alex-andorra.bsky.social chats with Mélodie Monod, François-Xavier & Yingzhen Li about making neural nets more reliable, Bayesian LLMs & more
🎧 lnkd.in/gcaRQXcb
#bayes #llm
August 8, 2025 at 3:56 PM
Your deep learning model might be confidently wrong — and in medicine or epidemiology, that’s dangerous.
In this episode, @alex-andorra.bsky.social chats with Mélodie Monod, François-Xavier & Yingzhen Li about making neural nets more reliable, Bayesian LLMs & more
🎧 lnkd.in/gcaRQXcb
#bayes #llm
In this episode, @alex-andorra.bsky.social chats with Mélodie Monod, François-Xavier & Yingzhen Li about making neural nets more reliable, Bayesian LLMs & more
🎧 lnkd.in/gcaRQXcb
#bayes #llm
Models need more than pattern-matching.
They need causal understanding.
In this episode, Robert Ness joins @alex-andorra.bsky.social to explore:
⚡ Why models need real-world biases
🧠 How causal rep learning is reshaping AI
🤖 What it takes to add causality to DL
🎧 lnkd.in/gUnCkwEP
#bayes #podcast
They need causal understanding.
In this episode, Robert Ness joins @alex-andorra.bsky.social to explore:
⚡ Why models need real-world biases
🧠 How causal rep learning is reshaping AI
🤖 What it takes to add causality to DL
🎧 lnkd.in/gUnCkwEP
#bayes #podcast
July 25, 2025 at 4:45 PM
Models need more than pattern-matching.
They need causal understanding.
In this episode, Robert Ness joins @alex-andorra.bsky.social to explore:
⚡ Why models need real-world biases
🧠 How causal rep learning is reshaping AI
🤖 What it takes to add causality to DL
🎧 lnkd.in/gUnCkwEP
#bayes #podcast
They need causal understanding.
In this episode, Robert Ness joins @alex-andorra.bsky.social to explore:
⚡ Why models need real-world biases
🧠 How causal rep learning is reshaping AI
🤖 What it takes to add causality to DL
🎧 lnkd.in/gUnCkwEP
#bayes #podcast
🚨 MCMC or INLA?
🤯 MCMC = slow sampling.
⚡ INLA = fast, smart approximations. No chains, no waiting.
🎙️ On LBS, @alex-andorra.bsky.social talks with Haavard Rue & Janet Van Niekerk about how INLA works, when to use it, and why it’s a game-changer.
🎧 Listen: lnkd.in/gp8D-RuU
#Bayesian #MCMC
🤯 MCMC = slow sampling.
⚡ INLA = fast, smart approximations. No chains, no waiting.
🎙️ On LBS, @alex-andorra.bsky.social talks with Haavard Rue & Janet Van Niekerk about how INLA works, when to use it, and why it’s a game-changer.
🎧 Listen: lnkd.in/gp8D-RuU
#Bayesian #MCMC
July 16, 2025 at 5:23 PM
🚨 MCMC or INLA?
🤯 MCMC = slow sampling.
⚡ INLA = fast, smart approximations. No chains, no waiting.
🎙️ On LBS, @alex-andorra.bsky.social talks with Haavard Rue & Janet Van Niekerk about how INLA works, when to use it, and why it’s a game-changer.
🎧 Listen: lnkd.in/gp8D-RuU
#Bayesian #MCMC
🤯 MCMC = slow sampling.
⚡ INLA = fast, smart approximations. No chains, no waiting.
🎙️ On LBS, @alex-andorra.bsky.social talks with Haavard Rue & Janet Van Niekerk about how INLA works, when to use it, and why it’s a game-changer.
🎧 Listen: lnkd.in/gp8D-RuU
#Bayesian #MCMC
🚨 Tired of MCMC cooking your CPU for hours?
@alex-andorra.bsky.social chats with Haavard Rue & Janet van Niekerk about INLA, a fast, deterministic game-changer for inference at scale.
✅ Handles huge + complex models
✅ Works with non-Gaussian likelihoods
🎧 www.learnbayesstats.com/episode/136-...
@alex-andorra.bsky.social chats with Haavard Rue & Janet van Niekerk about INLA, a fast, deterministic game-changer for inference at scale.
✅ Handles huge + complex models
✅ Works with non-Gaussian likelihoods
🎧 www.learnbayesstats.com/episode/136-...
July 10, 2025 at 4:24 PM
🚨 Tired of MCMC cooking your CPU for hours?
@alex-andorra.bsky.social chats with Haavard Rue & Janet van Niekerk about INLA, a fast, deterministic game-changer for inference at scale.
✅ Handles huge + complex models
✅ Works with non-Gaussian likelihoods
🎧 www.learnbayesstats.com/episode/136-...
@alex-andorra.bsky.social chats with Haavard Rue & Janet van Niekerk about INLA, a fast, deterministic game-changer for inference at scale.
✅ Handles huge + complex models
✅ Works with non-Gaussian likelihoods
🎧 www.learnbayesstats.com/episode/136-...
🔍 Most Bayesian models aren’t properly checked
Even when they converge, they might be wrong in ways you won’t see—unless you look differently
In this episode, Teemu Säilynoja joins @alex-andorra.bsky.social to explore, SBC, prior predictive checks and more!
🎧 learnbayesstats.com/episode/135-...
Even when they converge, they might be wrong in ways you won’t see—unless you look differently
In this episode, Teemu Säilynoja joins @alex-andorra.bsky.social to explore, SBC, prior predictive checks and more!
🎧 learnbayesstats.com/episode/135-...
June 28, 2025 at 4:11 PM
🔍 Most Bayesian models aren’t properly checked
Even when they converge, they might be wrong in ways you won’t see—unless you look differently
In this episode, Teemu Säilynoja joins @alex-andorra.bsky.social to explore, SBC, prior predictive checks and more!
🎧 learnbayesstats.com/episode/135-...
Even when they converge, they might be wrong in ways you won’t see—unless you look differently
In this episode, Teemu Säilynoja joins @alex-andorra.bsky.social to explore, SBC, prior predictive checks and more!
🎧 learnbayesstats.com/episode/135-...
Some people think R² doesn’t belong in Bayesian models
👇 David Kohns disagrees, and he has the math to back it
🎙️Ep. 134: @alex-andorra.bsky.social sits down with economist David Kohns to explore how modern Bayesian methods are reshaping time series modelling
🎧 learnbayesstats.com/episode/134-...
👇 David Kohns disagrees, and he has the math to back it
🎙️Ep. 134: @alex-andorra.bsky.social sits down with economist David Kohns to explore how modern Bayesian methods are reshaping time series modelling
🎧 learnbayesstats.com/episode/134-...
June 13, 2025 at 3:27 PM
Some people think R² doesn’t belong in Bayesian models
👇 David Kohns disagrees, and he has the math to back it
🎙️Ep. 134: @alex-andorra.bsky.social sits down with economist David Kohns to explore how modern Bayesian methods are reshaping time series modelling
🎧 learnbayesstats.com/episode/134-...
👇 David Kohns disagrees, and he has the math to back it
🎙️Ep. 134: @alex-andorra.bsky.social sits down with economist David Kohns to explore how modern Bayesian methods are reshaping time series modelling
🎧 learnbayesstats.com/episode/134-...
🎙️ In episode #132 of LBS, @alex-andorra.bsky.social talks with Tom Griffiths about Bayesian cognition and human-AI interaction—how we learn from limited data, why priors matter, what AI gets wrong, and why solving real problems beats perfect models & more ...
🔗 learnbayesstats.com/episode/132-...
🔗 learnbayesstats.com/episode/132-...
May 15, 2025 at 3:14 AM
🎙️ In episode #132 of LBS, @alex-andorra.bsky.social talks with Tom Griffiths about Bayesian cognition and human-AI interaction—how we learn from limited data, why priors matter, what AI gets wrong, and why solving real problems beats perfect models & more ...
🔗 learnbayesstats.com/episode/132-...
🔗 learnbayesstats.com/episode/132-...
⚽️ New Learning Bayesian Stats ep!
@alex-andorra.bsky.social & Luke Bornn dive into how tracking data, probabilistic models & optimization are reshaping sports decisions.
🎧 Listen now: learnbayesstats.com/episode/131-...
#Datascience #Optimization #SportsAnalytics #BayesStats
#Decisionmaking
@alex-andorra.bsky.social & Luke Bornn dive into how tracking data, probabilistic models & optimization are reshaping sports decisions.
🎧 Listen now: learnbayesstats.com/episode/131-...
#Datascience #Optimization #SportsAnalytics #BayesStats
#Decisionmaking
May 2, 2025 at 3:37 PM
⚽️ New Learning Bayesian Stats ep!
@alex-andorra.bsky.social & Luke Bornn dive into how tracking data, probabilistic models & optimization are reshaping sports decisions.
🎧 Listen now: learnbayesstats.com/episode/131-...
#Datascience #Optimization #SportsAnalytics #BayesStats
#Decisionmaking
@alex-andorra.bsky.social & Luke Bornn dive into how tracking data, probabilistic models & optimization are reshaping sports decisions.
🎧 Listen now: learnbayesstats.com/episode/131-...
#Datascience #Optimization #SportsAnalytics #BayesStats
#Decisionmaking
🧬 What does real-world impact look like when public health’s on the line?
🎙️ In episode 130 of LBS, @alex-andorra.bsky.social chats with Adam Kucharski on modelling, crisis response & lessons from recent epidemics.
🎧 Listen in: learnbayesstats.com/episode/130-...
🎙️ In episode 130 of LBS, @alex-andorra.bsky.social chats with Adam Kucharski on modelling, crisis response & lessons from recent epidemics.
🎧 Listen in: learnbayesstats.com/episode/130-...
April 17, 2025 at 2:56 PM
🧬 What does real-world impact look like when public health’s on the line?
🎙️ In episode 130 of LBS, @alex-andorra.bsky.social chats with Adam Kucharski on modelling, crisis response & lessons from recent epidemics.
🎧 Listen in: learnbayesstats.com/episode/130-...
🎙️ In episode 130 of LBS, @alex-andorra.bsky.social chats with Adam Kucharski on modelling, crisis response & lessons from recent epidemics.
🎧 Listen in: learnbayesstats.com/episode/130-...
What if AI could know when it doesn’t know?
🎙️ @alex-andorra.bsky.social talks with @vincefort.bsky.social about Bayesian deep learning, why it matters for uncertainty, calibration & more
🎧 Tune in: learnbayesstats.com/episode/129-...
#BayesianDeepLearning #MachineLearning #ReliableAI #AIResearch
🎙️ @alex-andorra.bsky.social talks with @vincefort.bsky.social about Bayesian deep learning, why it matters for uncertainty, calibration & more
🎧 Tune in: learnbayesstats.com/episode/129-...
#BayesianDeepLearning #MachineLearning #ReliableAI #AIResearch
April 3, 2025 at 3:49 PM
What if AI could know when it doesn’t know?
🎙️ @alex-andorra.bsky.social talks with @vincefort.bsky.social about Bayesian deep learning, why it matters for uncertainty, calibration & more
🎧 Tune in: learnbayesstats.com/episode/129-...
#BayesianDeepLearning #MachineLearning #ReliableAI #AIResearch
🎙️ @alex-andorra.bsky.social talks with @vincefort.bsky.social about Bayesian deep learning, why it matters for uncertainty, calibration & more
🎧 Tune in: learnbayesstats.com/episode/129-...
#BayesianDeepLearning #MachineLearning #ReliableAI #AIResearch
⚽ Football is more than tactics and talent—it's driven by 𝐝𝐚𝐭𝐚. From 𝐩𝐥𝐚𝐲𝐞𝐫 𝐫𝐞𝐜𝐫𝐮𝐢𝐭𝐦𝐞𝐧𝐭 to 𝐦𝐚𝐭𝐜𝐡 𝐚𝐧𝐚𝐥𝐲𝐬𝐢𝐬, data science gives clubs a winning edge.
🎧 In the latest episode, @alex-andorra.bsky.social sits down with Matthew Penn to break it all down:
👉 learnbayesstats.com/episode/128-...
🎧 In the latest episode, @alex-andorra.bsky.social sits down with Matthew Penn to break it all down:
👉 learnbayesstats.com/episode/128-...
March 20, 2025 at 12:53 PM
⚽ Football is more than tactics and talent—it's driven by 𝐝𝐚𝐭𝐚. From 𝐩𝐥𝐚𝐲𝐞𝐫 𝐫𝐞𝐜𝐫𝐮𝐢𝐭𝐦𝐞𝐧𝐭 to 𝐦𝐚𝐭𝐜𝐡 𝐚𝐧𝐚𝐥𝐲𝐬𝐢𝐬, data science gives clubs a winning edge.
🎧 In the latest episode, @alex-andorra.bsky.social sits down with Matthew Penn to break it all down:
👉 learnbayesstats.com/episode/128-...
🎧 In the latest episode, @alex-andorra.bsky.social sits down with Matthew Penn to break it all down:
👉 learnbayesstats.com/episode/128-...
🌊 𝐒𝐡𝐚𝐫𝐤𝐬, 𝐏𝐲𝐭𝐡𝐨𝐧, 𝐚𝐧𝐝 𝐂𝐚𝐮𝐬𝐚𝐥 𝐈𝐧𝐟𝐞𝐫𝐞𝐧𝐜𝐞? 𝐘𝐞𝐬, 𝐲𝐨𝐮 𝐫𝐞𝐚𝐝 𝐭𝐡𝐚𝐭 𝐫𝐢𝐠𝐡𝐭!
🎧 In this episode, with Aaron MacNeil and @alex-andorra.bsky.social we dive deep (pun intended) into how advanced statistical methods play a surprising role in ocean conservation
🔗 learnbayesstats.com/episode/127-...
#Ecology
🎧 In this episode, with Aaron MacNeil and @alex-andorra.bsky.social we dive deep (pun intended) into how advanced statistical methods play a surprising role in ocean conservation
🔗 learnbayesstats.com/episode/127-...
#Ecology
March 9, 2025 at 4:13 PM
🌊 𝐒𝐡𝐚𝐫𝐤𝐬, 𝐏𝐲𝐭𝐡𝐨𝐧, 𝐚𝐧𝐝 𝐂𝐚𝐮𝐬𝐚𝐥 𝐈𝐧𝐟𝐞𝐫𝐞𝐧𝐜𝐞? 𝐘𝐞𝐬, 𝐲𝐨𝐮 𝐫𝐞𝐚𝐝 𝐭𝐡𝐚𝐭 𝐫𝐢𝐠𝐡𝐭!
🎧 In this episode, with Aaron MacNeil and @alex-andorra.bsky.social we dive deep (pun intended) into how advanced statistical methods play a surprising role in ocean conservation
🔗 learnbayesstats.com/episode/127-...
#Ecology
🎧 In this episode, with Aaron MacNeil and @alex-andorra.bsky.social we dive deep (pun intended) into how advanced statistical methods play a surprising role in ocean conservation
🔗 learnbayesstats.com/episode/127-...
#Ecology
📢 Episode 126 is Live!
🎧 Listen now 👉 learnbayesstats.com/episode/126-...
🎙️ In this episode with @alex-andorra.bsky.social , Will Dean from @pymc-labs.bsky.social explains how Bayesian methods are reshaping marketing analytics, from MMM to CLV estimation and more ....
🎧 Listen now 👉 learnbayesstats.com/episode/126-...
🎙️ In this episode with @alex-andorra.bsky.social , Will Dean from @pymc-labs.bsky.social explains how Bayesian methods are reshaping marketing analytics, from MMM to CLV estimation and more ....
February 20, 2025 at 4:20 PM
📢 Episode 126 is Live!
🎧 Listen now 👉 learnbayesstats.com/episode/126-...
🎙️ In this episode with @alex-andorra.bsky.social , Will Dean from @pymc-labs.bsky.social explains how Bayesian methods are reshaping marketing analytics, from MMM to CLV estimation and more ....
🎧 Listen now 👉 learnbayesstats.com/episode/126-...
🎙️ In this episode with @alex-andorra.bsky.social , Will Dean from @pymc-labs.bsky.social explains how Bayesian methods are reshaping marketing analytics, from MMM to CLV estimation and more ....
🔮 𝐁𝐚𝐲𝐞𝐬𝐢𝐚𝐧 𝐒𝐩𝐨𝐫𝐭𝐬 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐢𝐬 𝐂𝐡𝐚𝐧𝐠𝐢𝐧𝐠 𝐭𝐡𝐞 𝐆𝐚𝐦𝐞!
🎙️ In this episode, @alex-andorra.bsky.social and @fonnesbeck.bsky.social break down how Bayesian methods are revolutionizing sports analytics and why the smartest teams are embracing them
🎧 𝐋𝐢𝐬𝐭𝐞𝐧 𝐧𝐨𝐰👉 learnbayesstats.com/episode/125-...
#LBS
🎙️ In this episode, @alex-andorra.bsky.social and @fonnesbeck.bsky.social break down how Bayesian methods are revolutionizing sports analytics and why the smartest teams are embracing them
🎧 𝐋𝐢𝐬𝐭𝐞𝐧 𝐧𝐨𝐰👉 learnbayesstats.com/episode/125-...
#LBS
February 6, 2025 at 3:32 PM
🔮 𝐁𝐚𝐲𝐞𝐬𝐢𝐚𝐧 𝐒𝐩𝐨𝐫𝐭𝐬 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐢𝐬 𝐂𝐡𝐚𝐧𝐠𝐢𝐧𝐠 𝐭𝐡𝐞 𝐆𝐚𝐦𝐞!
🎙️ In this episode, @alex-andorra.bsky.social and @fonnesbeck.bsky.social break down how Bayesian methods are revolutionizing sports analytics and why the smartest teams are embracing them
🎧 𝐋𝐢𝐬𝐭𝐞𝐧 𝐧𝐨𝐰👉 learnbayesstats.com/episode/125-...
#LBS
🎙️ In this episode, @alex-andorra.bsky.social and @fonnesbeck.bsky.social break down how Bayesian methods are revolutionizing sports analytics and why the smartest teams are embracing them
🎧 𝐋𝐢𝐬𝐭𝐞𝐧 𝐧𝐨𝐰👉 learnbayesstats.com/episode/125-...
#LBS
🥳𝐖𝐞 𝐦𝐚𝐝𝐞 𝐢𝐭 𝐭𝐨 𝐭𝐡𝐞 𝐓𝐎𝐏 15!
🏆 We’re beyond excited to share that 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐁𝐚𝐲𝐞𝐬𝐢𝐚𝐧 𝐒𝐭𝐚𝐭𝐢𝐬𝐭𝐢𝐜𝐬 has been recognized as one of the Top 15 Statistics Podcasts by Feedspot!
🙏 Thanks to our guests for sharing their knowledge, and of course, to all of you for tuning in, sending feedback!
#LearnBayesStats
🏆 We’re beyond excited to share that 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐁𝐚𝐲𝐞𝐬𝐢𝐚𝐧 𝐒𝐭𝐚𝐭𝐢𝐬𝐭𝐢𝐜𝐬 has been recognized as one of the Top 15 Statistics Podcasts by Feedspot!
🙏 Thanks to our guests for sharing their knowledge, and of course, to all of you for tuning in, sending feedback!
#LearnBayesStats
January 31, 2025 at 5:21 PM
🥳𝐖𝐞 𝐦𝐚𝐝𝐞 𝐢𝐭 𝐭𝐨 𝐭𝐡𝐞 𝐓𝐎𝐏 15!
🏆 We’re beyond excited to share that 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐁𝐚𝐲𝐞𝐬𝐢𝐚𝐧 𝐒𝐭𝐚𝐭𝐢𝐬𝐭𝐢𝐜𝐬 has been recognized as one of the Top 15 Statistics Podcasts by Feedspot!
🙏 Thanks to our guests for sharing their knowledge, and of course, to all of you for tuning in, sending feedback!
#LearnBayesStats
🏆 We’re beyond excited to share that 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐁𝐚𝐲𝐞𝐬𝐢𝐚𝐧 𝐒𝐭𝐚𝐭𝐢𝐬𝐭𝐢𝐜𝐬 has been recognized as one of the Top 15 Statistics Podcasts by Feedspot!
🙏 Thanks to our guests for sharing their knowledge, and of course, to all of you for tuning in, sending feedback!
#LearnBayesStats
🔴 𝐇𝐨𝐰 𝐓𝐨 𝐅𝐨𝐜𝐮𝐬 𝐎𝐧 𝐖𝐡𝐚𝐭 𝐌𝐚𝐭𝐭𝐞𝐫𝐬 𝐈𝐧 𝐓𝐢𝐦𝐞 𝐒𝐞𝐫𝐢𝐞𝐬 𝐅𝐨𝐫𝐞𝐜𝐚𝐬𝐭𝐢𝐧𝐠
🔗 learnbayesstats.com/episode/124-...
✅ 𝐈𝐧 𝐭𝐡𝐢𝐬 𝐄𝐩𝐢𝐬𝐨𝐝𝐞, 𝐲𝐨𝐮’𝐥𝐥 𝐥𝐞𝐚𝐫𝐧 𝐡𝐨𝐰 𝐭𝐨 𝐚𝐜𝐡𝐢𝐞𝐯𝐞 𝐭𝐡𝐚𝐭 with @pymc-devs.bsky.social
@alex-andorra.bsky.social & Jesse Grabowski talk about state space models, simplifying forecasting, applications etc.
🔗 learnbayesstats.com/episode/124-...
✅ 𝐈𝐧 𝐭𝐡𝐢𝐬 𝐄𝐩𝐢𝐬𝐨𝐝𝐞, 𝐲𝐨𝐮’𝐥𝐥 𝐥𝐞𝐚𝐫𝐧 𝐡𝐨𝐰 𝐭𝐨 𝐚𝐜𝐡𝐢𝐞𝐯𝐞 𝐭𝐡𝐚𝐭 with @pymc-devs.bsky.social
@alex-andorra.bsky.social & Jesse Grabowski talk about state space models, simplifying forecasting, applications etc.
January 24, 2025 at 2:30 PM
🔴 𝐇𝐨𝐰 𝐓𝐨 𝐅𝐨𝐜𝐮𝐬 𝐎𝐧 𝐖𝐡𝐚𝐭 𝐌𝐚𝐭𝐭𝐞𝐫𝐬 𝐈𝐧 𝐓𝐢𝐦𝐞 𝐒𝐞𝐫𝐢𝐞𝐬 𝐅𝐨𝐫𝐞𝐜𝐚𝐬𝐭𝐢𝐧𝐠
🔗 learnbayesstats.com/episode/124-...
✅ 𝐈𝐧 𝐭𝐡𝐢𝐬 𝐄𝐩𝐢𝐬𝐨𝐝𝐞, 𝐲𝐨𝐮’𝐥𝐥 𝐥𝐞𝐚𝐫𝐧 𝐡𝐨𝐰 𝐭𝐨 𝐚𝐜𝐡𝐢𝐞𝐯𝐞 𝐭𝐡𝐚𝐭 with @pymc-devs.bsky.social
@alex-andorra.bsky.social & Jesse Grabowski talk about state space models, simplifying forecasting, applications etc.
🔗 learnbayesstats.com/episode/124-...
✅ 𝐈𝐧 𝐭𝐡𝐢𝐬 𝐄𝐩𝐢𝐬𝐨𝐝𝐞, 𝐲𝐨𝐮’𝐥𝐥 𝐥𝐞𝐚𝐫𝐧 𝐡𝐨𝐰 𝐭𝐨 𝐚𝐜𝐡𝐢𝐞𝐯𝐞 𝐭𝐡𝐚𝐭 with @pymc-devs.bsky.social
@alex-andorra.bsky.social & Jesse Grabowski talk about state space models, simplifying forecasting, applications etc.
💯What if Bayesian modelling could be faster, more flexible, and easier to interpret?
🎧 youtu.be/7POdNknJ1Es?...
🎙️ Episode 123 is here! @alex-andorra.bsky.social chats with @aloctavodia.bsky.social about ground breaking tools and ideas that are shaping the future of Bayesian workflows.
#LBS #BART
🎧 youtu.be/7POdNknJ1Es?...
🎙️ Episode 123 is here! @alex-andorra.bsky.social chats with @aloctavodia.bsky.social about ground breaking tools and ideas that are shaping the future of Bayesian workflows.
#LBS #BART
January 11, 2025 at 1:58 PM
💯What if Bayesian modelling could be faster, more flexible, and easier to interpret?
🎧 youtu.be/7POdNknJ1Es?...
🎙️ Episode 123 is here! @alex-andorra.bsky.social chats with @aloctavodia.bsky.social about ground breaking tools and ideas that are shaping the future of Bayesian workflows.
#LBS #BART
🎧 youtu.be/7POdNknJ1Es?...
🎙️ Episode 123 is here! @alex-andorra.bsky.social chats with @aloctavodia.bsky.social about ground breaking tools and ideas that are shaping the future of Bayesian workflows.
#LBS #BART
📢 Episode 122 is Live!
🎧 lnkd.in/gqHWm-Mv
🎙️ In this episode of LBS, @alex-andorra.bsky.social chats with @hugobowne.bsky.social about Learning and Teaching in the Age of AI!
#LearningBayesianstatistics #AI #DataScience
🎧 lnkd.in/gqHWm-Mv
🎙️ In this episode of LBS, @alex-andorra.bsky.social chats with @hugobowne.bsky.social about Learning and Teaching in the Age of AI!
#LearningBayesianstatistics #AI #DataScience
December 27, 2024 at 3:07 PM
📢 Episode 122 is Live!
🎧 lnkd.in/gqHWm-Mv
🎙️ In this episode of LBS, @alex-andorra.bsky.social chats with @hugobowne.bsky.social about Learning and Teaching in the Age of AI!
#LearningBayesianstatistics #AI #DataScience
🎧 lnkd.in/gqHWm-Mv
🎙️ In this episode of LBS, @alex-andorra.bsky.social chats with @hugobowne.bsky.social about Learning and Teaching in the Age of AI!
#LearningBayesianstatistics #AI #DataScience
🎙️ Episode #121 is live!
🎧 learnbayesstats.com/episode/121-...
In this episode, @alex-andorra.bsky.social & @nathanielforde.bsky.social
talk about:
📊 The flexibility of Bayesian approaches in modelling, key steps in model validation.
⚖️ Balancing model complexity, factor analysis and more...
🎧 learnbayesstats.com/episode/121-...
In this episode, @alex-andorra.bsky.social & @nathanielforde.bsky.social
talk about:
📊 The flexibility of Bayesian approaches in modelling, key steps in model validation.
⚖️ Balancing model complexity, factor analysis and more...
December 14, 2024 at 8:02 PM
🎙️ Episode #121 is live!
🎧 learnbayesstats.com/episode/121-...
In this episode, @alex-andorra.bsky.social & @nathanielforde.bsky.social
talk about:
📊 The flexibility of Bayesian approaches in modelling, key steps in model validation.
⚖️ Balancing model complexity, factor analysis and more...
🎧 learnbayesstats.com/episode/121-...
In this episode, @alex-andorra.bsky.social & @nathanielforde.bsky.social
talk about:
📊 The flexibility of Bayesian approaches in modelling, key steps in model validation.
⚖️ Balancing model complexity, factor analysis and more...