Our Sports Analytics Team is heading to #SSAC26!

Join us for a hands-on workshop on Bayesian Spatial Modeling of #NHL goaltending. From shot difficulty to rink-wide scoring probability, see #PyMC in action!

👇 dub.link/qMEf0Ni

#SportsAnalytics #BayesianModeling #Hockey

Improving AI Agent Performance with Domain-Specific Skills | PyMC Benchmark Study A controlled benchmark comparing base LLM performance to skill-augmented AI agents for Bayesian modeling. Domain skills significantly improve convergence, model specification, and reliability.

We gave Claude a 15-page PyMC best-practices cheat sheet.
Pass rates jumped from 60% → 93%.

Hardest tasks saw the biggest gains:
• Stochastic volatility: 0% → 67%
• Runtime: 19 min → <3 min
and more ..

👉Benchmark: dub.link/KZxxZfQ
👉 Get the skill: hub.decision.ai/skills/pymc-...

#BayesianModeling

Among other things, we are currently busy finalizing our osteological protocols—and THAT doesn't make it any easier to estimate age at death from skeletons that are missing the 💀... Fortunately, there is some expertise in #bayesianmodeling on the team as well 🦴🧑‍💻😮‍💨 #paleodemography #humanosteology

Stop testing AI agents like software.
Start testing them like Data Scientists.

Learn how we build scientific guardrails for agent reliability. Register for our Feb 25 webinar 👇

dub.link/p9IiuT1

#GenAI #AgenticAI #AIEngineering #BayesianModeling #PyMC #MLOps

Marketing measurement shifted fast in 2025.

Join our #PyMC Labs roundtable as we break down what actually worked across MMM, CLV, forecasting, and Bayesian models, and what leaders need for 2026.

👉 Register: dub.link/qDR2J7X

#MarketingMeasurement #BayesianModeling

Modeling the SAT Math Gap with #PyMC

Why do male test takers score ~30 points higher? Ability or selection bias?

At PyData Boston 2025, @allendowney.bsky.social shows how Bayesian modeling untangles confounding to reveal what’s real.

#BayesianModeling #DataScience

In #CausalPy 0.6.0, one of the biggest upgrades isn’t a model, it’s clearer docs, tutorials, and examples + a unique Bayesian lens on structural causal discovery using variable-selection priors in joint models.

🧩Try it on Github: dub.link/Kv99C3L

#BayesianModeling

#CausalPy 0.6.0 drops an enhanced reporting layer:
cleaner tables, consistent summaries, and faster access to “so what?” insights.

A big step toward business-ready Bayesian outputs.
🧩Available on Github: dub.link/yyubQTR

#CausalPy #BayesianModeling

The countdown has started!

Join us this Thursday, Oct 23 to learn how to build production-ready Marketing Mix Models (MMMs) with fivetran + PyMC-Marketing.

🔗 Register: dub.link/u4MM50H

#MarketingAnalytics #MMM #BayesianModeling #Fivetran #PyMCLabs

𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐁𝐚𝐲𝐞𝐬𝐢𝐚𝐧 𝐌𝐨𝐝𝐞𝐥𝐢𝐧𝐠 𝐨𝐧 𝐲𝐨𝐮𝐫 𝐨𝐰𝐧 𝐜𝐚𝐧 𝐛𝐞 𝐬𝐥𝐨𝐰.

Hear how Leonardo leveled up in the Applied Bayesian Modeling Workshop.

Next cohort starting Oct 6: dub.link/admGEW9

#BayesianModeling #PyMC #MCMC

Measuring IIA Violations in Similarity Choices with Bayesian Models
Daniel Ratton Figueiredo, Hugo Sales Corrêa et al.
Paper
Details
#BayesianModeling #SimilarityChoice #IIACompliance

Synapse: Your Connection to our MSK Authors
Meet: Paul A Calder
Research Focus: SKI Pediatrics; Sr Research Assistant

synapse.mskcc.org/synapse/work...

#DrugDiscovery #CombinationTherapy #BayesianModeling #ActiveLearning #AIInBiotech #CancerResearch #PrecisionOncology #SystemsPharmacology

Your model isn’t enough if it can’t be trusted.

Learn how to build robust, decision-ready Bayesian models in our live workshop.

🚨 Last chance! Seats close this week.
👉 Save your spot dub.link/pzkZPEL

Featuring Allen Downey, Author of Think Bayes.
#BayesianModeling #PyMC #DataScience

Bayesian Modeling and Estimation of Linear Time-Variant Systems using
Neural Networks and Gaussian Processes
Yaniv Shulman
Paper
Details
#BayesianModeling #TimeVariantSystems #NeuralGaussianProcesses

🧮 Recently published in Bioinformatics Advances: "VICatMix: variational Bayesian clustering and variable selection for discrete biomedical data" 

Read the full paper here: https://doi.org/10.1093/bioadv/vbaf055

#BayesianModeling #OmicsData

Planning to incorporate Bayesian layers to better capture uncertainty in predictions and Bayesian Optimization for more efficient hyperparameter tuning. This will help improve forecast reliability and model performance. #BayesianModeling #AI #Forecasting

3/ 🧮 How it works: Our state-space model estimates the true malaria burden and assesses the sensitivity of surveillance systems. It calculates the probability of being malaria-free while addressing imperfections in routine health system data. #BayesianModeling #DataScience