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October 17, 2024 at 6:33 AM
This last 12 months or so was intense and fun both professionally and personally. Thanks owed @benvincent.bsky.social , @twiecki.bsky.social, @alex-andorra.bsky.social and all the pymc devs! Looking forward to 2025 @pymc-devs.bsky.social My #pymc, #opensource year-in-review:
January 1, 2025 at 3:59 PM
This last 12 months or so was intense and fun both professionally and personally. Thanks owed @benvincent.bsky.social , @twiecki.bsky.social, @alex-andorra.bsky.social and all the pymc devs! Looking forward to 2025 @pymc-devs.bsky.social My #pymc, #opensource year-in-review:
After months of procrastination, we've renamed the pymc-experimental project to pymc-extras, in the hopes of highlighting its utility as a set of powerful add-ons to base PyMC. Come for the latent approximate GPs, stay for the state-space models! pypi.org/project/pymc...
pypi.org
December 14, 2024 at 8:28 PM
After months of procrastination, we've renamed the pymc-experimental project to pymc-extras, in the hopes of highlighting its utility as a set of powerful add-ons to base PyMC. Come for the latent approximate GPs, stay for the state-space models! pypi.org/project/pymc...
I built a PyMC-Discourse bot! If you go to our #PyMC help forum and tag @pymc-bot, my bot will take your question, send it to onyx (RAG system that has all the PyMC docs, code, and past forum posts), which generates an answer, and posts it back. Check it out!
discourse.pymc.io/t/introducin...
discourse.pymc.io/t/introducin...
Introducing PyMC-Bot: An AI Assistant for PyMC Questions (Alpha)
Hello PyMC community! I’m excited to announce the launch of PyMC-Bot, an AI assistant dedicated to helping with PyMC-related questions right here on the forum. This is currently in alpha stage as we ...
discourse.pymc.io
April 18, 2025 at 9:32 PM
I built a PyMC-Discourse bot! If you go to our #PyMC help forum and tag @pymc-bot, my bot will take your question, send it to onyx (RAG system that has all the PyMC docs, code, and past forum posts), which generates an answer, and posts it back. Check it out!
discourse.pymc.io/t/introducin...
discourse.pymc.io/t/introducin...
pymc: Bayesian Modeling and Probabilistic Programming #python
pymc: Bayesian Modeling and Probabilistic Programming #python
Bayesian Modeling and Probabilistic Programming in Python - pymc-devs/pymc
github.com
September 21, 2025 at 3:00 AM
pymc: Bayesian Modeling and Probabilistic Programming #python
Removing miniconda because I can never get pymc to work with conda for some reason.
UV is the way
UV is the way
March 23, 2025 at 6:34 PM
Removing miniconda because I can never get pymc to work with conda for some reason.
UV is the way
UV is the way
Promising results from the Pymc folks! #bayesian #pymc #stats #stan
discourse.mc-stan.org/t/updated-ch...
discourse.mc-stan.org/t/updated-ch...
Updated cholesky corr parameterization testing
Promising results from the Pymc folks Confirmation that the det Jacobian is correct and early tests show improved sampling!
discourse.mc-stan.org
February 28, 2025 at 7:39 PM
Promising results from the Pymc folks! #bayesian #pymc #stats #stan
discourse.mc-stan.org/t/updated-ch...
discourse.mc-stan.org/t/updated-ch...
We replaced a PyMC compiler with an LLM agent that transpiles to Rust. 3-7x faster sampling, validated against reference gradients, ~500 lines of scaffolding.
👉 Full technical dive: dub.sh/4QNM59l
🧩 Open source: github.com/pymc-labs/alchemize
#PyMC #Rust #AgenticAI
👉 Full technical dive: dub.sh/4QNM59l
🧩 Open source: github.com/pymc-labs/alchemize
#PyMC #Rust #AgenticAI
GitHub - pymc-labs/alchemize: LLM-based, self-correcting transpiler. Supports JAX, PyTorch, Rust, PyMC, Stan.
LLM-based, self-correcting transpiler. Supports JAX, PyTorch, Rust, PyMC, Stan. - pymc-labs/alchemize
github.com
May 12, 2026 at 2:15 PM
We replaced a PyMC compiler with an LLM agent that transpiles to Rust. 3-7x faster sampling, validated against reference gradients, ~500 lines of scaffolding.
👉 Full technical dive: dub.sh/4QNM59l
🧩 Open source: github.com/pymc-labs/alchemize
#PyMC #Rust #AgenticAI
👉 Full technical dive: dub.sh/4QNM59l
🧩 Open source: github.com/pymc-labs/alchemize
#PyMC #Rust #AgenticAI
PyMC-Marketing v1.0 is live!
Stable Bayesian marketing analytics by PyMC Labs:
• Multidimensional & ~1.5x faster
• Predicted Incrementality (PIE)
• Funnel-Aware MMM
• Long-Term Brand Effects
Docs & Release: dub.sh/NIB4SZm
#MMM #PyMC
Stable Bayesian marketing analytics by PyMC Labs:
• Multidimensional & ~1.5x faster
• Predicted Incrementality (PIE)
• Funnel-Aware MMM
• Long-Term Brand Effects
Docs & Release: dub.sh/NIB4SZm
#MMM #PyMC
August 10, 2026 at 3:59 PM
PyMC-Marketing v1.0 is live!
Stable Bayesian marketing analytics by PyMC Labs:
• Multidimensional & ~1.5x faster
• Predicted Incrementality (PIE)
• Funnel-Aware MMM
• Long-Term Brand Effects
Docs & Release: dub.sh/NIB4SZm
#MMM #PyMC
Stable Bayesian marketing analytics by PyMC Labs:
• Multidimensional & ~1.5x faster
• Predicted Incrementality (PIE)
• Funnel-Aware MMM
• Long-Term Brand Effects
Docs & Release: dub.sh/NIB4SZm
#MMM #PyMC
Alchemize: PyMC’s model to replace Stan/PyMC, etc. with an LLM
statmodeling.stat.columbia.edu/2026/05/14/a...
statmodeling.stat.columbia.edu/2026/05/14/a...
Alchemize: PyMC’s model to replace Stan/PyMC, etc. with an LLM | Statistical Modeling, Causal Inference, and Social Science
statmodeling.stat.columbia.edu
May 14, 2026 at 9:36 PM
Alchemize: PyMC’s model to replace Stan/PyMC, etc. with an LLM
statmodeling.stat.columbia.edu/2026/05/14/a...
statmodeling.stat.columbia.edu/2026/05/14/a...
@pymc-labs.bsky.social also have one for the Radon case study www.pymc-labs.com/blog-posts/s...
Modeling spatial data with Gaussian processes in PyMC - PyMC Labs
We build a Gaussian process model on a geospatial dataset with the goal of predicting expected concentrations of a radioactive gas in households depending on the county the houses belong to.
www.pymc-labs.com
January 28, 2025 at 3:21 PM
@pymc-labs.bsky.social also have one for the Radon case study www.pymc-labs.com/blog-posts/s...
PyMC developers & contributors starter pack go.bsky.app/VL7kEjd (let me know if I forgot to add you).
November 20, 2024 at 3:54 AM
PyMC developers & contributors starter pack go.bsky.app/VL7kEjd (let me know if I forgot to add you).
New PyMC model forecasts the entire 2026 World Cup group stage: scorelines and advancement odds for all 48 teams.
Opening day it nailed Mexico 2-0 and Korea 2-1. England, Spain, and Brazil lead; Group D is chaos.
Read the full blog here: dub.sh/hBW61BZ
#PyMC #WorldCup2026
Opening day it nailed Mexico 2-0 and Korea 2-1. England, Spain, and Brazil lead; Group D is chaos.
Read the full blog here: dub.sh/hBW61BZ
#PyMC #WorldCup2026
June 15, 2026 at 12:44 PM
New PyMC model forecasts the entire 2026 World Cup group stage: scorelines and advancement odds for all 48 teams.
Opening day it nailed Mexico 2-0 and Korea 2-1. England, Spain, and Brazil lead; Group D is chaos.
Read the full blog here: dub.sh/hBW61BZ
#PyMC #WorldCup2026
Opening day it nailed Mexico 2-0 and Korea 2-1. England, Spain, and Brazil lead; Group D is chaos.
Read the full blog here: dub.sh/hBW61BZ
#PyMC #WorldCup2026
Reposting this every time it saves my butt. Maybe it should be built into everything. When you're on the highway, your car should clear its throat now and then: "by the way, do you have 10 min to discuss how my brakes work?" Anyway, thank god PyMC can do that now.
Key to efficient learning is realizing how we ACTUALLY learn, not just what FEELS like learning. I wrote a Claude Skill for some friends to help them think about this and they've liked it -- see Principles for some directions you could explore
github.com/DrCatHicks/l...
github.com/DrCatHicks/l...
GitHub - DrCatHicks/learning-opportunities: A Claude Code skill for deliberate skill development during AI-assisted coding
A Claude Code skill for deliberate skill development during AI-assisted coding - DrCatHicks/learning-opportunities
github.com
May 13, 2026 at 4:00 PM
Reposting this every time it saves my butt. Maybe it should be built into everything. When you're on the highway, your car should clear its throat now and then: "by the way, do you have 10 min to discuss how my brakes work?" Anyway, thank god PyMC can do that now.
Looking forward to this! Talking about the do-operator and structural causal models in PyMC
January 24, 2025 at 2:36 PM
Looking forward to this! Talking about the do-operator and structural causal models in PyMC
A new Python toolbox called HSSM simplifies working with Hierarchical Sequential Sampling Models (HSSMs) to understand how we accumulate evidence and make choices. Built on PyMC, Bambi, & ArviZ. Check it out! #cognitivescience #python #decisionmaking
edspace.american.edu/openbehavior...
edspace.american.edu/openbehavior...
January 31, 2025 at 7:04 PM
A new Python toolbox called HSSM simplifies working with Hierarchical Sequential Sampling Models (HSSMs) to understand how we accumulate evidence and make choices. Built on PyMC, Bambi, & ArviZ. Check it out! #cognitivescience #python #decisionmaking
edspace.american.edu/openbehavior...
edspace.american.edu/openbehavior...
Any PyMC-Marketing users or curious about it? I would love to connect github.com/pymc-labs/py...
GitHub - pymc-labs/pymc-marketing: Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more.
Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more. - pymc-labs/pymc-marketing
github.com
November 18, 2024 at 9:56 PM
Any PyMC-Marketing users or curious about it? I would love to connect github.com/pymc-labs/py...
🥧 nutpie got a website now! pymc-devs.github.io/nutpie/
If you're doing Bayesian inference with PyMC or Stan, this might be worth checking out. Nutpie can sample PyMC and Stan model, and typically twice as fast.
#BayesianStats #PyMC #Stan
If you're doing Bayesian inference with PyMC or Stan, this might be worth checking out. Nutpie can sample PyMC and Stan model, and typically twice as fast.
#BayesianStats #PyMC #Stan
Nutpie
pymc-devs.github.io
June 3, 2025 at 8:25 PM
🥧 nutpie got a website now! pymc-devs.github.io/nutpie/
If you're doing Bayesian inference with PyMC or Stan, this might be worth checking out. Nutpie can sample PyMC and Stan model, and typically twice as fast.
#BayesianStats #PyMC #Stan
If you're doing Bayesian inference with PyMC or Stan, this might be worth checking out. Nutpie can sample PyMC and Stan model, and typically twice as fast.
#BayesianStats #PyMC #Stan
📢PyMC Office Hours!
Got questions about #bayesian stats, #modeling tips, or just want to chat? Join us on Monday, Jan 27th, for a relaxed session with the PyMC community! Everyone's welcome. 🤝
Link: meetup.com/pymc-online-...
📅 Date: Jan 27, 2025 | 15:00 UTC
🕒 Duration: 1 hour
Got questions about #bayesian stats, #modeling tips, or just want to chat? Join us on Monday, Jan 27th, for a relaxed session with the PyMC community! Everyone's welcome. 🤝
Link: meetup.com/pymc-online-...
📅 Date: Jan 27, 2025 | 15:00 UTC
🕒 Duration: 1 hour
January 23, 2025 at 4:34 PM
📢PyMC Office Hours!
Got questions about #bayesian stats, #modeling tips, or just want to chat? Join us on Monday, Jan 27th, for a relaxed session with the PyMC community! Everyone's welcome. 🤝
Link: meetup.com/pymc-online-...
📅 Date: Jan 27, 2025 | 15:00 UTC
🕒 Duration: 1 hour
Got questions about #bayesian stats, #modeling tips, or just want to chat? Join us on Monday, Jan 27th, for a relaxed session with the PyMC community! Everyone's welcome. 🤝
Link: meetup.com/pymc-online-...
📅 Date: Jan 27, 2025 | 15:00 UTC
🕒 Duration: 1 hour
Listen, pymc is pretty good — especially if you need to modularize code.
But Arviz can’t touch tidybayes and ggdist. I keep just transforming stuff to a data frame and replicating stuff I would do in R.
But Arviz can’t touch tidybayes and ggdist. I keep just transforming stuff to a data frame and replicating stuff I would do in R.
December 21, 2024 at 4:57 PM
Listen, pymc is pretty good — especially if you need to modularize code.
But Arviz can’t touch tidybayes and ggdist. I keep just transforming stuff to a data frame and replicating stuff I would do in R.
But Arviz can’t touch tidybayes and ggdist. I keep just transforming stuff to a data frame and replicating stuff I would do in R.
A new blog post on paired comparison models with pseudo-code for PyMC: blog.damoncroberts.io/posts/paired...
Paired Comparisons in PyMC – A neglected blog
blog.damoncroberts.io
September 24, 2026 at 10:54 AM
A new blog post on paired comparison models with pseudo-code for PyMC: blog.damoncroberts.io/posts/paired...
𝐏𝐲𝐌𝐂-𝐌𝐚𝐫𝐤𝐞𝐭𝐢𝐧𝐠 𝐢𝐬 𝐠𝐫𝐨𝐰𝐢𝐧𝐠 𝐟𝐚𝐬𝐭. We’ve crossed 175,000 𝐭𝐨𝐭𝐚𝐥 𝐝𝐨𝐰𝐧𝐥𝐨𝐚𝐝𝐬 & now hit 20,000 𝐦𝐨𝐧𝐭𝐡𝐥𝐲 𝐝𝐨𝐰𝐧𝐥𝐨𝐚𝐝𝐬.
🤔𝐓𝐡𝐢𝐧𝐤𝐢𝐧𝐠 𝐨𝐟 𝐁𝐮𝐢𝐥𝐝𝐢𝐧𝐠 𝐈𝐧-𝐇𝐨𝐮𝐬𝐞?
Developing a custom solution can take 𝐦𝐨𝐧𝐭𝐡𝐬, 𝐏𝐲𝐌𝐂-𝐌𝐚𝐫𝐤𝐞𝐭𝐢𝐧𝐠 gets you there 𝐟𝐚𝐬𝐭𝐞𝐫
📅 𝐒𝐜𝐡𝐞𝐝𝐮𝐥𝐞 𝐚 𝐅𝐫𝐞𝐞 𝐒𝐭𝐫𝐚𝐭𝐞𝐠𝐲 𝐂𝐨𝐧𝐬𝐮𝐥𝐭𝐚𝐭𝐢𝐨𝐧 : calendly.com/niall-oulton
🤔𝐓𝐡𝐢𝐧𝐤𝐢𝐧𝐠 𝐨𝐟 𝐁𝐮𝐢𝐥𝐝𝐢𝐧𝐠 𝐈𝐧-𝐇𝐨𝐮𝐬𝐞?
Developing a custom solution can take 𝐦𝐨𝐧𝐭𝐡𝐬, 𝐏𝐲𝐌𝐂-𝐌𝐚𝐫𝐤𝐞𝐭𝐢𝐧𝐠 gets you there 𝐟𝐚𝐬𝐭𝐞𝐫
📅 𝐒𝐜𝐡𝐞𝐝𝐮𝐥𝐞 𝐚 𝐅𝐫𝐞𝐞 𝐒𝐭𝐫𝐚𝐭𝐞𝐠𝐲 𝐂𝐨𝐧𝐬𝐮𝐥𝐭𝐚𝐭𝐢𝐨𝐧 : calendly.com/niall-oulton
March 4, 2025 at 6:03 PM
𝐏𝐲𝐌𝐂-𝐌𝐚𝐫𝐤𝐞𝐭𝐢𝐧𝐠 𝐢𝐬 𝐠𝐫𝐨𝐰𝐢𝐧𝐠 𝐟𝐚𝐬𝐭. We’ve crossed 175,000 𝐭𝐨𝐭𝐚𝐥 𝐝𝐨𝐰𝐧𝐥𝐨𝐚𝐝𝐬 & now hit 20,000 𝐦𝐨𝐧𝐭𝐡𝐥𝐲 𝐝𝐨𝐰𝐧𝐥𝐨𝐚𝐝𝐬.
🤔𝐓𝐡𝐢𝐧𝐤𝐢𝐧𝐠 𝐨𝐟 𝐁𝐮𝐢𝐥𝐝𝐢𝐧𝐠 𝐈𝐧-𝐇𝐨𝐮𝐬𝐞?
Developing a custom solution can take 𝐦𝐨𝐧𝐭𝐡𝐬, 𝐏𝐲𝐌𝐂-𝐌𝐚𝐫𝐤𝐞𝐭𝐢𝐧𝐠 gets you there 𝐟𝐚𝐬𝐭𝐞𝐫
📅 𝐒𝐜𝐡𝐞𝐝𝐮𝐥𝐞 𝐚 𝐅𝐫𝐞𝐞 𝐒𝐭𝐫𝐚𝐭𝐞𝐠𝐲 𝐂𝐨𝐧𝐬𝐮𝐥𝐭𝐚𝐭𝐢𝐨𝐧 : calendly.com/niall-oulton
🤔𝐓𝐡𝐢𝐧𝐤𝐢𝐧𝐠 𝐨𝐟 𝐁𝐮𝐢𝐥𝐝𝐢𝐧𝐠 𝐈𝐧-𝐇𝐨𝐮𝐬𝐞?
Developing a custom solution can take 𝐦𝐨𝐧𝐭𝐡𝐬, 𝐏𝐲𝐌𝐂-𝐌𝐚𝐫𝐤𝐞𝐭𝐢𝐧𝐠 gets you there 𝐟𝐚𝐬𝐭𝐞𝐫
📅 𝐒𝐜𝐡𝐞𝐝𝐮𝐥𝐞 𝐚 𝐅𝐫𝐞𝐞 𝐒𝐭𝐫𝐚𝐭𝐞𝐠𝐲 𝐂𝐨𝐧𝐬𝐮𝐥𝐭𝐚𝐭𝐢𝐨𝐧 : calendly.com/niall-oulton
The new dims module in PyMC makes the specification of complex models much cleaner and less error-prone. www.pymc.io/projects/doc...
PyMC dims module — PyMC 5.25.1 documentation
www.pymc.io
July 26, 2025 at 6:24 PM
The new dims module in PyMC makes the specification of complex models much cleaner and less error-prone. www.pymc.io/projects/doc...
Meet our AI-driven MMM Agent, built on PyMC-Marketing, to reduce months-long Marketing Mix Modeling work into hours ⏳eliminating messy data prep, guesswork on adstock decays, and stale insights that arrive too late.
👉 Read more: www.pymc-labs.com/blog-posts/t...
📩 Contact: info@pymc-labs.com
#ai
👉 Read more: www.pymc-labs.com/blog-posts/t...
📩 Contact: info@pymc-labs.com
#ai
The AI MMM Agent: An AI-Powered Shortcut to Bayesian Marketing Mix Insights - PyMC Labs
www.pymc-labs.com
February 24, 2025 at 6:03 PM
Meet our AI-driven MMM Agent, built on PyMC-Marketing, to reduce months-long Marketing Mix Modeling work into hours ⏳eliminating messy data prep, guesswork on adstock decays, and stale insights that arrive too late.
👉 Read more: www.pymc-labs.com/blog-posts/t...
📩 Contact: info@pymc-labs.com
#ai
👉 Read more: www.pymc-labs.com/blog-posts/t...
📩 Contact: info@pymc-labs.com
#ai
Listen, someone reach out when PyMC stops being awful.
May 27, 2026 at 4:08 AM
Listen, someone reach out when PyMC stops being awful.