Latest posts tagged with #BayesianModeling on Bluesky
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!
๐ dub.link/qMEf0Ni
#SportsAnalytics #BayesianModeling #Hockey
We gave Claude a 15-page PyMC best-practices cheat sheet.
Pass rates jumped from 60% โ 93%.
Hardest tasks saw the biggest gains:
โข Stochastic volatility: 0% โ 67%
โข Runtime: 19 min โ <3 min
and more ..
๐Benchmark: dub.link/KZxxZfQ
๐ Get the skill: hub.decision.ai/skills/pymc-...
#BayesianModeling
Among other things, we are currently busy finalizing our osteological protocolsโand THAT doesn't make it any easier to estimate age at death from skeletons that are missing the ๐... Fortunately, there is some expertise in #bayesianmodeling on the team as well ๐ฆด๐งโ๐ป๐ฎโ๐จ #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 ๐
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.
๐ 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 whatโs real.
#BayesianModeling #DataScience
In #CausalPy 0.6.0, one of the biggest upgrades isnโt a model, itโs clearer docs, tutorials, and examples + a unique Bayesian lens on structural causal discovery using variable-selection priors in joint models.
๐งฉTry it on Github: dub.link/Kv99C3L
#BayesianModeling
#CausalPy 0.6.0 drops an enhanced reporting layer:
cleaner tables, consistent summaries, and faster access to โso what?โ insights.
A big step toward business-ready Bayesian outputs.
๐งฉAvailable 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.
๐ Register: dub.link/u4MM50H
#MarketingAnalytics #MMM #BayesianModeling #Fivetran #PyMCLabs
๐๐๐๐ซ๐ง๐ข๐ง๐ ๐๐๐ฒ๐๐ฌ๐ข๐๐ง ๐๐จ๐๐๐ฅ๐ข๐ง๐ ๐จ๐ง ๐ฒ๐จ๐ฎ๐ซ ๐จ๐ฐ๐ง ๐๐๐ง ๐๐ ๐ฌ๐ฅ๐จ๐ฐ.
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 Corrรชa 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 isnโt enough if it canโt be trusted.
Learn how to build robust, decision-ready Bayesian models in our live workshop.
๐จ Last chance! Seats close this week.
๐ 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
๐งฎ Recently published in Bioinformatics Advances: "VICatMix: variational Bayesian clustering and variable selection for discrete biomedical data"ย
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/ ๐งฎ 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
