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New research proposes debugging #Bayesian inference while it runs, not after. A methodology for live MCMC diagnostics: R-hat, ESS, and trace plots updating in real time instead of post-hoc.

Join our webinar on Mar 25, 11 AM ET.
👉 dub.link/Bwr7kT3

#PyMC #MCMC #DataScience

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MMM SKILLs by juanitorduz · Pull Request #2354 · pymc-labs/pymc-marketing Add initial MMM skills. 📚 Documentation preview 📚: https://pymc-marketing--2354.org.readthedocs.build/en/2354/

LLMs give surface-level MMM advice

So we built AI skills for pymc-marketing that know how to set priors, handle adstock carryover, and run budget optimization.

They ship with the repo and work in #Cursor/#Claude
👉Github Repo: dub.link/e5qeoQE

#PyMC #MediaMixModeling

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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

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We’ve been building agentic data science systems; the hardest part isn’t execution, it’s knowing if an agent’s conclusions can be trusted.

Join our webinar on Feb 25 with #PyMC Labs to learn how we catch failures & build trust

👉 dub.link/SUHEjct

#AgenticDataScience #MMM

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#Bayesian causal inference is about generative mechanisms, not just correlations.

Learn how to encode causal assumptions and simulate counterfactuals in our Applied Bayesian Regression Modeling course.

Registration still open 👇
dub.link/PKrUYFP

#PyMC #CausalInference

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Bayesian regression shouldn’t stop at good fit and nice plots.

Our Applied Bayesian Regression Modeling course shows how to build models that drive real decisions using #PyMC & #Bambi

👉 Learn more & enroll: dub.link/x1K1vz4

#AppliedRegression #Analytics #DecisionMaking

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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

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Learn Bayesian regression modeling from the people building #PyMC, #Bambi & #CausalPy.

4 weeks. Live sessions. Real-world use cases.

👉 Registration now open: dub.link/2CDdYLK

#BayesianStatistics #Baysian

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Bayesian #MarketingAnalytics isn’t about complicated math. It’s about making decisions under uncertainty.

Our #PyMC Labs’ 5-step MMM workflow shows how to go from raw data → probabilistic decisions → real-world action.

👉 Join the course: dub.link/zxxlnd6

#MMM #Bayesian

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Bayesian MMM as a decision engine 🧠

Causal funnels with PyMC-Marketing, optimized with PyTensor, and explored via marimo with interactive counterfactuals.

Full walkthrough by Teemu Säilynoja 👇
dub.link/I4o42dP

#PyMC #MMM #MarketingAnalytics

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Contributing to CausalPy: A Comprehensive Guide for Python Developers Enjoy the videos and music you love, upload original content, and share it all with friends, family, and the world on YouTube.

Want to build the future of decision intelligence?

Join #PyMC Labs in contributing to #CausalPy; open-source, Bayesian-powered causal inference for real-world problems.

🚀Watch onboarding: dub.link/3hk7lU0
🧩GitHub: github.com/pymc-labs/Ca...

#CausalInference #OpenSource

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Overconfident CLV models are quietly costing your marketing team millions. 📉

Learn directly from the team behind #PyMC in our #Bayesian Marketing Analytics course.

Quantify uncertainty & make smarter decisions.

🔗Register now: dub.link/gb2YOyp

#MarketingAnalytics #CLV

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Mastering Media Saturation: New Technical Guide for PyMC-Marketing

Visualize diminishing returns and optimize budget allocation with our new technical guide.

👉 Check for the full notebook and the underlying implementation here: dub.link/UaF3IZm

#MMM #Bayesian #PyMC

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Stop wasting marketing budget on broken attribution!

Our Bayesian Marketing Analytics Course with Tim McWilliams, Colt Allen, Carlos Agostini & Ben Vincent helps you master marketing ROI.

👉 Register now: dub.link/zggZctl

#Bayesian #MarketingStrategy #PyMC

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🚨 Final Call: Master Bayesian Modeling with the creators of #PyMC!

Learn from @allendowney.bsky.social , Chris Fonnesbeck & Vianey Leos Barajas in this 4-week course.

🗓 Starts: Monday, Jan 12
⏳ Reg Closes: Tomorrow!

Register: dub.link/cLOwlUm

#Bayesian

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Decisions without uncertainty are gambles.

Final week to join our Applied #Bayesian Modeling course starting Jan 12. Master the workflow with @allendowney.bsky.social , Chris Fonnesbeck, and Vianey Leos Barajas.

👉 Sign up today: dub.link/WTOSi6n

#PyMC #DataScience

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Introducing: The Bayesian Marketing Analytics Course by PyMC Labs.

Stop guessing if your ROI is real or just market noise. Master uncertainty-aware decision rules and causal inference in a course led by #PyMC lead practitioners.

Join our February cohort: dub.link/AHtL0NY

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PyMC-Marketing hits 1,000 stars on GitHub!

From an ambitious 2023 project to a global Marketing measurement standard. Replacing black box models with #Bayesian rigor.

A massive thank you to our community and the #PyMC Labs team for building this robust ecosystem together.

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Bayesian Spatial Modeling for Evaluating Hockey Goaltending Performance Discover how Bayesian spatial modeling provides a more accurate and nuanced evaluation of hockey goaltender performance. Learn how spatial shot data and probabilistic methods reveal deeper insights in...

Hockey goaltending stats are noisy. We used #Bayesian spatial models to separate skill from luck, creating a fairer framework for scouting.

See how Gaussian Processes clarify performance and improve decision-making.

👉 dub.link/TBq8CKy

#SportsAnalytics #PyMC #Bayesian

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Registration is now open for the Jan 2026 Applied #Bayesian Modeling Workshop!

Hands-on guidance from #PyMC Labs experts, practical Bayesian modeling you can use right away. Starting Jan 12.

Seats are limited → dub.link/ds6cgc7

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Practical Bayesian Modeling with #PyMC - from A/B tests to bandits.

Join us at @pydata.bsky.social 2025 for a hands-on workshop with @allendowney.bsky.social . Learn Bayesian A/B testing, bandits, Thompson sampling, hierarchical models, and more using PyMC and Jupyter.

See you there!

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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

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𝗣𝘆𝗠𝗖-𝗠𝗮𝗿𝗸𝗲𝘁𝗶𝗻𝗴 vs 𝗚𝗼𝗼𝗴𝗹𝗲 𝗠𝗲𝗿𝗶𝗱𝗶𝗮𝗻, a real-world benchmark for better #MMM decisions.

Join #PyMC Labs partner Luca Fiaschi at #PyDataBoston 2025 as he shares a rigorous, open-source comparison of both frameworks using realistic, production-scale data!

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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

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Join us tomorrow at Python Ireland’s PyCon 2025 for a talk with Nathaniel Ford on Bayesian workflows with PyMC.

Learn iterative refinement, robust SEM modeling, and the craft behind meaningful statistical discovery.

#PyCon2025 #PyMC #DataScience

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Day 2 of our Hierarchical Modeling Workshop with Alexandre Andorra @learnbayesstats.bsky.social - using our new hybrid teaching setup, featuring our LMS, live discussion groups, and more. #pymc #bayesian #data #datascience #sportsanalytics

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¡Los modelos también hablan español!
PyMC Marketing ya está disponible en español 🎉

And for our non-Spanish speakers 🌍
PyMC Marketing is now live in Spanish!

🧩 Explore: dub.link/kR00Qtz
#PyMC #OpenSource #MarketingAnalytics

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Who you gonna call when your model’s haunted by unexplained variance? 👻

PyMC Labs.

🎃 Happy Halloween from the PyMC Labs team,
Stay spooky, stay Bayesian.

#Halloween #DataScience #PyMC

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PyMC-Marketing v0.17 - Estimating Upper-Funnel Activities with Causal Reasoning and Joint Models Notebook

PyMC-Marketing v0.17 - Estimating Upper-Funnel Activities with Causal Reasoning and Joint Models Notebook

Measuring how brand awareness or reach drives business results is tough.

The new notebook in PyMC-Marketing v0.17.0 uses causal reasoning + joint models to connect upper-funnel efforts to real outcomes.

🧩𝗔𝘃𝗮𝗶𝗹𝗮𝗯𝗹𝗲 𝗼𝗻 𝗚𝗶𝘁𝗛𝘂𝗯: dub.link/sOQNdUp

#MarketingAnalytics #CausalInference #PyMC #OpenSource

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We're excited to highlight Multi-Objective Optimization in PyMC-Marketing v0.17.!

A Bayesian way to balance multiple marketing goals, conversions, engagement, budget, and find the best trade-offs.

🧩 𝗔𝘃𝗮𝗶𝗹𝗮𝗯𝗹𝗲 𝗼𝗻 𝗚𝗶𝘁𝗛𝘂𝗯: dub.link/BTafbmI
#PyMC

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