Luciano
@lucianopaz47Argentinian, Italian, Bayesian. I code and do stats for a living
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(1/5) Very excited to announce the publication of Bayesian Models of Cognition: Reverse Engineering the Mind. More than a decade in the making, it's a big (600+ pages) beautiful book covering both the basics and recent work: mitpress.mit.edu/9780262049412/…
Hilo de fotos distopicas del la epoca covid. Estas fotos estan sacadas del hilo de forocoches del mismo nombre 🧵👇🏻
Where do you find interesting data? I wrote a blog post on my favorite sources for finding datasets: rebeccabarter.com/blog/2023-03-2… What are your favorite data sources?
On Tuesday, @danhpt will give the talk “An introduction to multi-output Gaussian processes using PyMC”. Join the pre-event discussion: rpst.page.link/Ga9r Or subscribe to the Meetup event: rpst.page.link/cJ2o Thanks @mistplayapp for sponsoring this series! #PyMCon
1/ The 2022 climate data is out. And it’s terrifying. Overall, 2022 was the fifth warmest year on record. Below is a short🧵on 2022’s record-breaking droughts, floods, ‘rain bombs,’ wildfires & more Cc: @dwallacewells @JesseJenkins @ylecun @leahstokes @Noahpinion @MichaelEMann
Motivos por los que Argentina merece ser campeón mundial👇🏻🇦🇷 [ABRO HILO]
Does your (EU) country attract or lose top researchers? AT, CH attract a lot. FR, DE, BE, ES are open places: as many leave as arrive. IE is a closed system. Italy, there is something very wrong: *very* few come, many go. Plot made with @ERC_Research data.
PyMC is Forking Aesara to PyTensor. PyTensor will allow for new features such as labeled arrays, as well as speed up development and streamline the PyMC codebase and user experience. Full announcement: pymc.io/blog/pytensor_… PyTensor code: github.com/pymc-devs/pyte…
We are looking for folks like you to share your knowledge, best practices, or tricks with the wider PyMC community 📣 🥇 First-time speakers are encouraged. 👀The review process will be double-blind. Review all the details here: pymcon.com/cfp.
Join our next panel discussion as we discuss IRT (Item Response Theory), GRM (Graded Response Model) and the advantages to using the Bayesian approach. 🗓️: Wed, October 26,2022 ⏰: 12pm ET/16:00 UTC 👤: @twiecki, @morgan_pihl,@CaprettoTomas meetup.com/pymc-labs-onli… #bayesian #PyMC
"This is the first algorithm [..] where there is a clear incentive for it to be used in modern machine learning, but there is a fundamental reason why common machine learning frameworks like Jax and Tensorflow will not be able to treat them optimally." stochasticlifestyle.com/useful-algorit…
Try out truncated distributions in the newly released PyMC 4.2.0!
PyMC v4 is now the default in colab. Welcome to the future of statistical computation colab.research.google.com
Python tooling could be much, much faster. To prove it, I'm releasing ruff, an extremely fast Python linter, written in Rust. ruff is 10-100x faster than existing solutions. It lints the entire CPython codebase in < 500ms. Try it! (`pip install ruff`) github.com/charliermarsh/…
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Who to follow
-
PyMC Labs
@pymc_labs -
Tomás Capretto
@tomicapretto -
PyMC Developers https://bayes.club/@pymc
@pymc_devs -
Alexandre Andorra
@alex_andorra -
Benjamin Vincent, DPhil
@inferencelab -
Austin Rochford
@AustinRochford -
aloctavodia.bsky.social
@aloctavodia -
ArviZ
@arviz_devs -
Larry Dong
@larryshamalama -
Brandon T. Willard
@BrandonTWillard -
Gabriel Stechschulte
@__gsteck__ -
Chukwukamso Michael
@ChukwukamsoM -
Nathaniel Forde
@forde_nathaniel -
Garrett Mooney
@GarrettRMooney -
Sayam Kumar
@sayamkumar753
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