Learn Bayesian regression modeling from the people building #PyMC, #Bambi & #CausalPy.
4 weeks. Live sessions. Real-world use cases.
π Registration now open: dub.link/2CDdYLK
#BayesianStatistics #Baysian
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#CausalPy
Latest posts tagged with #CausalPy on Bluesky
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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.
πWatch onboarding: dub.link/3hk7lU0
π§©GitHub: github.com/pymc-labs/Ca...
#CausalInference #OpenSource
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Agentic Causal Inference is here! π
By connecting cursor to marimo via MCP, Gemini 3 Pro can execute and iterate on CausalPy models in real-time. From automated sensitivity analysis to Bayesian transparency!
πWatch: ggl.link/Ifw0lVt
#CausalPy #AgenticAI
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In #CausalPy 0.6.0, one of the biggest upgrades isnβt a model, itβs clearer docs, tutorials, and examples + a unique Bayesian lens on structural causal discovery using variable-selection priors in joint models.
π§©Try it on Github: dub.link/Kv99C3L
#BayesianModeling
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#CausalPy 0.6.0 drops an enhanced reporting layer:
cleaner tables, consistent summaries, and faster access to βso what?β insights.
A big step toward business-ready Bayesian outputs.
π§©Available on Github: dub.link/yyubQTR
#CausalPy #BayesianModeling
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#CausalPy 0.6.0 adds Bayesian Propensity Score Enhancements!
Flexible spline adjustments, improved joint modeling, and an example notebook make scoring more robust, showing how design thinking complements #Bayesian estimation.
π§©Try it on Github: dub.link/9jkcRao
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π #CausalPy 0.6.0 is live!
A key highlight: the new Prior class, enabling fully custom #Bayesian priors and advanced setups like spike-and-slab or synthetic control models.
More flexibility, more transparency, better causal modeling.
𧩠ππ΅π²π°πΈ πΆπ πΌππ πΌπ» ππΆππππ―: dub.link/QrkzW8C
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π₯ CausalPy 0.5.0 is out! Now supports multiple treated units in synthetic control β a big boost for geo-lift analysis and more.
π Learn more: dub.link/causalpy-v0-...
#CausalPy #CausalInference #PyMC
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π CausalPy just hit 1,000+ β on GitHub β and crossed 120K downloads!
When A/B tests stop, CausalPy starts.
Bayesian. Interpretable. Open-source.
Huge thanks to everyone whoβs contributed to the project.
πCheckout CausalPy: dub.link/causalpy
#CausalPy #PyMCLabs #OpenSource #Bayesian #DataScience
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πβ¨ πππ«π«π² ππ‘π«π’π¬ππ¦ππ¬ ππ§π πππ©π©π² ππ¨π₯π’πππ²π¬Β ππ«π¨π¦ ππ²ππ ππππ¬!
π This holiday season, we want to thank everyone in our community for your support and enthusiasm. Weβre grateful to see so many of you using PyMC-Marketing and CausalPy
#MerryChristmas #HappyNewYear #PyMCMarketing #CausalPy #Gratitude
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ποΈ In a recent discussion, @twiecki.bsky.social and Christian Luhmann reflected on their experiences building high-performing remote teams at PyMC Labs, sharing successes, challenges, and lessons learned. Hereβs a glimpse:
π youtu.be/AjPfgdS29OY
#Interview #PyMCMarketing #CausalPy
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