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PyMC developersPyMC is in Google Summer of Code 2025!We're excited to be part of <a href="https://bayes.club/tags/GSoC2025" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#GSoC2025</a> under <a href="https://mastodon.social/@NumFOCUS" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@NumFOCUS</a> If you're passionate about <a href="https://bayes.club/tags/Bayesian" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Bayesian</a> stats & <a href="https://bayes.club/tags/OpenSource" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#OpenSource</a>, this is your chance to contribute to <a href="https://bayes.club/tags/PyMC" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#PyMC</a>!📅 Deadline: April 8, 18:00 UTC 🔗 Apply now: <a href="https://www.pymc.io/blog/blog_gsoc_2025_announcement.html" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://www.pymc.io/blog/blog_gsoc_2025_announcement.html</a>

EuroSciPyAdvancing probabilistic programming for scientific applications?<a href="https://fosstodon.org/tags/EuroSciPy2025" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#EuroSciPy2025</a> welcomes original research on Bayesian methods, MCMC algorithms, and statistical modeling in <a href="https://fosstodon.org/tags/Python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Python</a>.Submit your work as tutorials, talks, or posters!<a href="https://fosstodon.org/tags/BayesianStatistics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#BayesianStatistics</a> <a href="https://fosstodon.org/tags/ScientificPython" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ScientificPython</a> <a href="https://fosstodon.org/tags/PyMC" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#PyMC</a> <a href="https://fosstodon.org/tags/PyStan" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#PyStan</a> <a href="https://fosstodon.org/tags/EuroSciPy" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#EuroSciPy</a>

EuroSciPyDeveloping Bayesian inference methods for complex scientific problems?<a href="https://fosstodon.org/tags/EuroSciPy2025" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#EuroSciPy2025</a> is seeking original work on Hamiltonian Monte Carlo, variational inference, and statistical modeling in <a href="https://fosstodon.org/tags/Python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Python</a>.Submit your innovations: <a href="https://pretalx.com/euroscipy-2025/cfp" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://pretalx.com/euroscipy-2025/cfp</a> <a href="https://fosstodon.org/tags/CfP" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#CfP</a><a href="https://fosstodon.org/tags/BayesianStatistics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#BayesianStatistics</a> <a href="https://fosstodon.org/tags/ScientificPython" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ScientificPython</a> <a href="https://fosstodon.org/tags/BayesianInference" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#BayesianInference</a> <a href="https://fosstodon.org/tags/PyMC" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#PyMC</a> <a href="https://fosstodon.org/tags/PyStan" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#PyStan</a> <a href="https://fosstodon.org/tags/EuroSciPy" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#EuroSciPy</a>

Pierre-Simon Laplace📢 Episode 126 is Live! 🎧 Listen now 👉 <a href="https://learnbayesstats.com/episode/126-mmm-clv-bayesian-marketing-analytics-will-dean" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://learnbayesstats.com/episode/126-mmm-clv-bayesian-marketing-analytics-will-dean</a>🎙️ In this episode with Alex Andorra, Will Dean from PyMC-Labs explains how Bayesian methods are reshaping marketing analytics, from MMM to CLV estimation and more ....<a href="https://mstdn.science/tags/BayesianMarketing" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#BayesianMarketing</a> <a href="https://mstdn.science/tags/MMM" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#MMM</a> <a href="https://mstdn.science/tags/CLV" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#CLV</a> <a href="https://mstdn.science/tags/MarketingAnalytics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#MarketingAnalytics</a> <a href="https://mstdn.science/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#MachineLearning</a> <a href="https://mstdn.science/tags/ProbabilisticProgramming" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ProbabilisticProgramming</a> <a href="https://mstdn.science/tags/DataScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DataScience</a> <a href="https://mstdn.science/tags/PyMC" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#PyMC</a> <a href="https://mstdn.science/tags/Marketing" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Marketing</a>

dillonniederhutAre you a Python enthusiast looking to explore the power of probabilistic programming? Join us next week at PyHouston to hear Larry Jones introduce <a href="https://fosstodon.org/tags/PyMC" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#PyMC</a> — the go-to Python library for probabilistic modeling and Bayesian inference!<a href="https://www.meetup.com/python-14/events/305485300/?eventOrigin=group_upcoming_events" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://www.meetup.com/python-14/events/305485300/?eventOrigin=group_upcoming_events</a>

Pierre-Simon Laplace🔴 𝐇𝐨𝐰 𝐓𝐨 𝐅𝐨𝐜𝐮𝐬 𝐎𝐧 𝐖𝐡𝐚𝐭 𝐌𝐚𝐭𝐭𝐞𝐫𝐬 𝐈𝐧 𝐓𝐢𝐦𝐞 𝐒𝐞𝐫𝐢𝐞𝐬 𝐅𝐨𝐫𝐞𝐜𝐚𝐬𝐭𝐢𝐧𝐠 🔗 <a href="https://learnbayesstats.com/episode/124-state-space-models-structural-time-series-jesse-grabowski" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://learnbayesstats.com/episode/124-state-space-models-structural-time-series-jesse-grabowski</a>✅ 𝐈𝐧 𝐭𝐡𝐢𝐬 𝐄𝐩𝐢𝐬𝐨𝐝𝐞, 𝐲𝐨𝐮’𝐥𝐥 𝐥𝐞𝐚𝐫𝐧 𝐡𝐨𝐰 𝐭𝐨 𝐚𝐜𝐡𝐢𝐞𝐯𝐞 𝐭𝐡𝐚𝐭 with <a href="https://bayes.club/@pymc" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@pymc</a> Alex Andorra & Jesse Grabowski talk about state space models, simplifying forecasting, applications etc.<a href="https://mstdn.science/tags/LearningBayesianStatistics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#LearningBayesianStatistics</a> <a href="https://mstdn.science/tags/PyMC" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#PyMC</a> <a href="https://mstdn.science/tags/forecasting" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#forecasting</a> <a href="https://mstdn.science/tags/timeseries" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#timeseries</a>

➴➴➴Æ🜔Ɲ.Ƈꭚ⍴𝔥єɼ👩🏻‍💻I genuinely miss PyMC2. The <a href="https://lgbtqia.space/tags/PyMC" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#PyMC</a> and <a href="https://lgbtqia.space/tags/Arviz" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Arviz</a> APIs changes so frequently, that it's impossible to know what the standard approach to anything is.<a href="https://lgbtqia.space/tags/Bayesian" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Bayesian</a> <a href="https://lgbtqia.space/tags/Statistics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Statistics</a> in <a href="https://lgbtqia.space/tags/Python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Python</a> should be easy. To be honest, I'd really like a well maintained <a href="https://lgbtqia.space/tags/SkLearn" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#SkLearn</a> module for it.

Kira Howe (McLean)Learning about PyMC makes me want to become a statistician.. super interesting way to think about data, but so much goes into building a good model! So many rabbit holes.Bayesian modelling is clearly super powerful though and seems to offer some answers to some of the most intractable problems with black-box ML. A reliable model with known and understandable inputs is invaluable for certain use cases.<a href="https://indieweb.social/tags/pydata" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#pydata</a> <a href="https://indieweb.social/tags/pydatalondon" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#pydatalondon</a> <a href="https://indieweb.social/tags/pymc" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#pymc</a> <a href="https://indieweb.social/tags/bayesianstats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#bayesianstats</a>

Rami Krispin :unverified:Cohort Revenue & Retention Analysis with Python 🚀For those who work with cohort data, I recommend checking Dr.Juan Orduz tutorial for cohort revenue and retention analysis with PyMC 👇🏼<a href="https://www.pymc-labs.com/blog-posts/cohort-revenue-retention/" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://www.pymc-labs.com/blog-posts/cohort-revenue-retention/</a><a href="https://mstdn.social/tags/python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#python</a> <a href="https://mstdn.social/tags/DataScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DataScience</a> <a href="https://mstdn.social/tags/Bayesian" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Bayesian</a> <a href="https://mstdn.social/tags/pymc" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#pymc</a>

Shih Ching Fu<a href="https://bayes.club/@charleemos" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@charleemos</a> I have found both the <a href="https://bayes.club/tags/PyMC" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#PyMC</a> tutorials (<a href="https://www.pymc.io/projects/docs/en/latest/guides/Gaussian_Processes.html" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://www.pymc.io/projects/docs/en/latest/guides/Gaussian_Processes.html</a>) and the <a href="https://bayes.club/tags/Stan" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Stan</a> User's Guide (<a href="https://mc-stan.org/docs/stan-users-guide/gaussian-processes.html" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://mc-stan.org/docs/stan-users-guide/gaussian-processes.html</a>) on <a href="https://bayes.club/tags/GaussianProcesses" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#GaussianProcesses</a> good for getting your hands dirty. Seeing GPs in action and fiddling with hyperparameters was helpful for me to understand the mathematical underpinnings.

Michael MisamoreIt is possible to fit a graphical model with about 10k variables in <a href="https://sigmoid.social/tags/pymc" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#pymc</a> or does it just explode? 🙂

JoseSo testing some intuition on moving a deterministic analysis into a complex <a href="https://fediscience.org/tags/Bayesian" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Bayesian</a> inference problem using <a href="https://fediscience.org/tags/PyMC" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#PyMC</a> has been a really fast process. I'm very impressed with how easy it's been to use it. Well chuffed!!!

Michael OsthegeDid you know that <a href="https://bayes.club/@pymc" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@pymc</a> has a backend enabling live streaming of MCMCs to a <a href="https://nrw.social/tags/ClickHouse" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ClickHouse</a> database?Check out <a href="https://github.com/pymc-devs/mcbackend" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://github.com/pymc-devs/mcbackend</a> to learn more about <a href="https://nrw.social/tags/McBackend" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#McBackend</a>, and visit <a href="https://github.com/pymc-devs/pymc/wiki/GSoC-2024-projects#Extending-McBackend-related-features" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://github.com/pymc-devs/pymc/wiki/GSoC-2024-projects#Extending-McBackend-related-features</a> if you're interested in doing a Google Summer of Code project on this! <a href="https://nrw.social/tags/PyMC" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#PyMC</a> <a href="https://nrw.social/tags/GSoC" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#GSoC</a> <a href="https://nrw.social/tags/GSoC2024" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#GSoC2024</a>

PyMC developers🚀 Introducing "@as_model" in PyMC-Experimental API! 🔥 Key Features: - Simplifies PyMC modeling - Better code structure🔗 Details: GitHub PR #268 <a href="https://github.com/pymc-devs/pymc-experimental/pull/268" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://github.com/pymc-devs/pymc-experimental/pull/268</a>🙌 Thanks to Theo Rashid, <a href="https://bayes.club/@ricardoV94" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@ricardoV94</a>, Rob Zinkov, <a href="https://bayes.club/@twiecki" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@twiecki</a> and Maxim Kochurov !<a href="https://bayes.club/tags/PyMC" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#PyMC</a> <a href="https://bayes.club/tags/Python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Python</a> <a href="https://bayes.club/tags/DataScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DataScience</a> <a href="https://bayes.club/tags/Bayesian" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Bayesian</a> <a href="https://bayes.club/tags/OpenSource" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#OpenSource</a> 🐍📈🎉

Gabriel WeindelModern <a href="https://fediscience.org/tags/Bayesian" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Bayesian</a> samplers like <a href="https://fediscience.org/tags/PyMC" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#PyMC</a> are too fast... no way to take a break and having the impression to get things done in parallel... barely the time to toot.

Rob ZinkovAt the encouragement of <a href="https://chaos.social/@nkaretnikov" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@nkaretnikov</a> I made a blogpost on how to use <a href="https://bayes.club/tags/pymc" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#pymc</a> in a more functional style!<a href="https://www.zinkov.com/posts/2023-alternative-frontends-pymc/" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://www.zinkov.com/posts/2023-alternative-frontends-pymc/</a>

PyMC developers🚀 Exciting update for <a href="https://bayes.club/tags/DataScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DataScience</a> enthusiasts! Abuzar has pre-recorded a detailed walkthrough on Changepoint Modeling with <a href="https://bayes.club/tags/PyMC" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#PyMC</a>. 📊🔗 Dive in before the live event for a head-start: <a href="https://www.youtube.com/watch?v=iwNju1o5yQo" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://www.youtube.com/watch?v=iwNju1o5yQo</a>📓 Grab the notebook: <a href="https://github.com/abuzarmahmood/pymcon_bayesian_changepoint/blob/72102ad6149b86d586595bf4523f40f66eb20c25/Bayesian_Changepoint_Zoo_neural_data.ipynb" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://github.com/abuzarmahmood/pymcon_bayesian_changepoint/blob/72102ad6149b86d586595bf4523f40f66eb20c25/Bayesian_Changepoint_Zoo_neural_data.ipynb</a>📅 Join us live for deeper insights and a Q&A session! 👉 <a href="https://www.meetup.com/pymc-online-meetup/events/297203071" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://www.meetup.com/pymc-online-meetup/events/297203071</a><a href="https://bayes.club/tags/ChangepointModelling" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ChangepointModelling</a> <a href="https://bayes.club/tags/Python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Python</a> <a href="https://bayes.club/tags/StatisticalModelling" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#StatisticalModelling</a>

PyMC developers🤔 How does our brain turn flavors into data? Uncover the science with Dr. Abuzar Mahmood at <a href="https://bayes.club/tags/PyMCon" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#PyMCon</a>.🎥 Watch the interview: <a href="https://www.youtube.com/watch?v=ySF3X45XRyQ" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://www.youtube.com/watch?v=ySF3X45XRyQ</a> 🧠 Get into the nitty-gritty of brain signal analysis using <a href="https://bayes.club/tags/PyMC" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#PyMC</a>. 👉 Details & chat: <a href="https://discourse.pymc.io/t/13251" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://discourse.pymc.io/t/13251</a><a href="https://bayes.club/tags/neuroscience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#neuroscience</a> <a href="https://bayes.club/tags/datascience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#datascience</a> <a href="https://bayes.club/tags/statistics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#statistics</a> <a href="https://bayes.club/tags/learning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#learning</a>

PyMC developers📢 Calling all data science enthusiasts and PyMC users!We're excited to announce the PyMC Docathon on November 17th at 3 PM CET (9 AM ET). This is your chance to contribute to the open-source community and help enhance the PyMC example gallery and documentation.📆 Save the date: Nov 17, 3pm CET / 14 UTC / 6am PT / 9am ET 🔗 Sign up here: <a href="https://www.meetup.com/pymc-online-meetup/events/297172683/" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://www.meetup.com/pymc-online-meetup/events/297172683/</a> 👉 Join the PyMC Discord Server: <a href="https://discord.gg/g9vefGNEMH" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://discord.gg/g9vefGNEMH</a>🤝 Lets meet, collaborate, and network with fellow Bayesian enthusiasts. <a href="https://bayes.club/tags/pymc" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#pymc</a>

Hector MuñozNew post (and blog)! Predicting my dog's weight with Bayesian models.<a href="https://www.probablycredible.com/blog/bayesian-model-dog-weight/" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://www.probablycredible.com/blog/bayesian-model-dog-weight/</a><a href="https://bayes.club/tags/Bayesian" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Bayesian</a> <a href="https://bayes.club/tags/pymc" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#pymc</a>

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