@pierreanalytics@pymc_labs I actually did have a venue effect in one version of the model, but decided to keep things simple (maybe too simple). Once you are into more than one season of shot data you'd want to be using a GPU or switching to approximate Bayesian methods.
@32NYR@pierreanalytics@pymc_labs Yes, this is just one year. Also keep in mind that (1) those effects are just for wrist shots and (2) the width of the credible intervals mean he could actually be much lower than top-5. Multiple years would definitely improve the shooter random effect estimates!
@pierreanalytics@pymc_labs Thanks Neil!
You would definitely want a temporal aspect to the model; the post was really just a demonstration of continual model expansion as opposed to a finished product. Spatio-temporal HSGPs work great, though at some point we'd probably have to switch from MCMC to VI.
π Big news for Mac users!
PyTensor now supports the MLX backend - bringing Apple Silicon (M1/M2/M3...) hardware acceleration to PyMC. β‘
Try it out by setting mode="MLX" and share your feedback!
Huge thanks to all contributors! π
#PyMC#PyTensor#MLX#AppleSilicon
π’ PyMC Office Hours - You're Invited!
Got questions about Bayesian modeling or PyMC? Join us for an open chat with Jesse & Christian - bring your projects, ideas, or just curiosity!
π Oct 20, 2025 β 8 PM NYC | 7 PM Chicago
π Zoom (RSVP πhttps://t.co/5hskmVejH8)
State-space modeling in PyMC just leveled up! π
We've released Dynamic Factor Models in pymc-extras v0.5.0, achieving 1:1 feature parity with statsmodels.
A massive contribution from GSoC 2025 student Andre Cate.
Get started with the notebook: https://t.co/3Moygg5ORP
π New in PyMC (dev): pymc.dims - build PyMC models with named dimensions
- Auto alignment & broadcasting by named dims
- Fewer reshapes, transposes & hacks
- Use softmax(dim="item") instead of axis=-1
Read more: https://t.co/mbZ8Z5dLGX
PyMC 5.21.0+ is here with support for NumPy 2.x & Python 3.13. If you held off on upgrades, you're clear to go! π
Details π https://t.co/GxTxRFNMLk
Big thanks to everyone who made the migration smooth!
#pymc#numpy#python#opensource
Excited to welcome Open Wound Research as a sponsor of @pymc_devs! π
They're advancing wound care research with open science, open-source tools, and Bayesian modeling β powered by PyMC
Learn more about them:https://t.co/xhxT78qzz8
Follow their journey:https://t.co/87dGvolG7a
π Join us for the PyMC Code Sprint at #PyDataLondon
ποΈ June 7 | π₯ 10:20β12:35
π https://t.co/oaTCNaFV4f
Contribute to #PyMCβfix bugs, write docs, build examplesβand learn directly from core devs.
No prior experience neededβjust your laptop and curiosity!
See you there!
ποΈ PyMC Office Hours β May 14!
Come chat about Bayesian modeling, PyMC, or just hang with the community. Whether you're a beginner or an expert, all are welcome!
ποΈ Wed, May 14 | πUTC 13:00 | NY 9am | LDN 2pm
π Zoom (RSVP for link): https://t.co/n8BFmrzEvV
#PyMC#OfficeHours
PyMC is in Google Summer of Code 2025!
We're excited to be part of #GSoC2025 under @NumFOCUS! If you're passionate about #Bayesian stats & #OpenSource, this is your chance to contribute to #PyMC!
π Deadline: April 8, 18:00 UTC
π Apply now: https://t.co/T24nCs7oPN
π’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. π€
Link: https://t.co/JiN2X1pioR
π Date: Jan 27, 2025 | 15:00 UTC
π Duration: 1 hour
π Hey Open Source Enthusiasts!
Join us for the PyMC Sprint at @PyData NYC 2024! We are excited to be mentoring this sprint and canβt wait to support you in making contributions to PyMC!
π Event Details: https://t.co/BD1ZM6QLov
Let's collaborate & learn with @NumFOCUS@PyData
I've been wanting to blog for a while. Today I finished this post about data simulation and parameter recovery with PyMC. It covers the do and observe operators, as well as the classic coords, dims, etc.
https://t.co/D4q0IuIyVM
Hanging out at the PyMC office hour right now! Drop in if youβve got questions or just want to chat about Bayesian stuff.
https://t.co/3fulBMZyZb
#PyMC#OfficeHours#ChillChat
π’ 1 day to go! Tomorrow, weβll be hosting another exciting round of office hours where you can bring all your questions about PyMC. Whether you're troubleshooting a problem, curious about Bayesian stats, or just want to hang out and chat, we're here for you.
See you tomorrow!π€
Hi PyMC community π
We are holding office hours next week. The office hours are open to everyone, and anyone should feel welcome to attend.
π ππππ: Wednesday, 16th Oct, 2024
β° ππ’π¦π: 14 UTC / 7 am PT / 10 am ET
π RSVP: https://t.co/b552yOHOYE
Hi PyMC community π
We are holding office hours next week. The office hours are open to everyone, and anyone should feel welcome to attend.
π ππππ: Wednesday, 16th Oct, 2024
β° ππ’π¦π: 14 UTC / 7 am PT / 10 am ET
π RSVP: https://t.co/b552yOHOYE
π₯PyMC 5.13.0 is here!π₯
- Trace too big? Use var_names to only store those you actually need. Need them later on? Use compute_deterministics()
- Truncate custom distributions with CustomDist for flexible modeling
β‘ Python 3.10+ support, and more: https://t.co/sRNHziQRDc
π PyMC 5.10.4 has been officially landed on Colab!
This latest version brings seamless integration of the numpyro sampler. Now, you can run blackjax and numpyro smoothly.
Explore all the features and enhancements; check it out now on Colab: https://t.co/PINX81TDpQ #PyMC