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Daniel G. Saunders

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H-index: 34
Psychology 48%
Political science 21%
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Reposted by: Daniel G. Saunders, Robert W. Wallace, Steven French , and 1 more

philsci.bsky.social
✨Don't forget✨ PSA Office Hours are back! Join us this Thursday, October 9 at 12 PM EST with S. Andrew Schroeder. Sign up at the link below to save your spot!

www.philsci.org/psa_...
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by Daniel G. Saunders

danielsaunders.bsky.social
This is the classic shorter piece mechanism.ucsd.edu/bill/teachin... and he has a book length treatment of similar ideas in Representing and Intervening.
mechanism.ucsd.edu
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by Daniel G. Saunders

danielsaunders.bsky.social
Ian Hacking and Hasok Chang are big proponents of thinking about philosophy of science in terms of actions and skills. I love this paper by Chang: d1wqtxts1xzle7.cloudfront.net/52270296/201...
d1wqtxts1xzle7.cloudfront.net
1 4

by Daniel G. Saunders

danielsaunders.bsky.social
Woo congrats to Nathan and your team! Excited to read this :)
1

by Daniel G. Saunders

danielsaunders.bsky.social
Okay but what about when you are just trynna have a good time making stuff?

by Daniel G. Saunders

danielsaunders.bsky.social
It’s an amazing package. The website also has a bunch of neat strategies to diagnose hmc samplers, ones I haven’t seen discussed elsewhere.
aseyboldt.bsky.social
Adrian Seyboldt @aseyboldt.bsky.social · Jun 3
🥧 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
Nutpie
pymc-devs.github.io
4

Reposted by: Daniel G. Saunders

aseyboldt.bsky.social
🥧 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
Nutpie
pymc-devs.github.io
5

Reposted by: Daniel G. Saunders

dingdingpeng.the100.ci
“We didn’t ever hide that that’s what it was. People were mad because we were calling them effects,” she says. “Then they say to us, but they’re just associations with 20 covariates. But the point is we said that from the beginning. They’re associations with 20 covariates.”
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Reposted by: Daniel G. Saunders

lastpositivist.bsky.social
Friend telling me about how few statisticians are actually Bayesians. It's a real shame how far we have fallen from God's light.
5 4 55

by Daniel G. Saunders

danielsaunders.bsky.social
Insanely bad. I manually turn off the tab function whenever I’m about to be notebooking for a while.

Reposted by: Daniel G. Saunders

avehtari.bsky.social
Mitzi Morris's new case study mc-stan.org/learn-stan/c... illustrates with hierarchical and spatial models the better efficiency of the new sum_to_zero_vector constrained parameter introduced in Stan 2.36 (2024-12). Mitzi used CmdStanPy, but the Stan code is the same with all interfaces
The Sum-to-Zero Constraint in Stan
mc-stan.org
4 20

by Daniel G. Saunders

danielsaunders.bsky.social
Great I’m gonna try to make it!
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by Daniel G. Saunders

danielsaunders.bsky.social
But which day tho?
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by Daniel G. Saunders

danielsaunders.bsky.social
It’s out 😮 I just checked last week to be teased with a mere abstract.

by Daniel G. Saunders

danielsaunders.bsky.social
A brief history of tech disruptions:
2010: We are going to disrupt that horrible corporation, Blockbuster
2012: We are going to disrupt those awful cab monopolies
2014: We are going to disrupt the record labels
2022: We are going to disrupt reading and writing

by Daniel G. Saunders

danielsaunders.bsky.social
Feels extremely true, watching how business leadership reacts to the long search process involved in finding a good model. The bayesian workflow literature largely assumes academic contexts where research papers are expected to be in development for a year or more.
baxtereaves.bsky.social
Baxter Eaves @baxtereaves.bsky.social · Dec 19
PPLs have struggled to gain traction in industry. Conventional wisdom blames scaling. I argue that PPLs' challenges aren't about scaling at all. They're about learning. And sometimes, to go faster, we need to slow down.

heresy.ai/a-better-ppl/

#bayesian #machinelearning
Making PPLs More Useful With Two New Operators | Heresy
Probabilistic programming is a counter play to black box machine learning. Probabilistic programming practitioners seek to build interpretable models of phenomena and to captu…
heresy.ai

Reposted by: Daniel G. Saunders

pymc-labs.bsky.social
🎄✨ 𝐌𝐞𝐫𝐫𝐲 𝐂𝐡𝐫𝐢𝐬𝐭𝐦𝐚𝐬 𝐚𝐧𝐝 𝐇𝐚𝐩𝐩𝐲 𝐇𝐨𝐥𝐢𝐝𝐚𝐲𝐬 𝐟𝐫𝐨𝐦 𝐏𝐲𝐌𝐂 𝐋𝐚𝐛𝐬!

🎁 This holiday season, we want to thank everyone in our community for your support and enthusiasm. We’re grateful to see so many of you using PyMC-Marketing and CausalPy

#MerryChristmas #HappyNewYear #PyMCMarketing #CausalPy #Gratitude
4 5

Reposted by: Daniel G. Saunders

baxtereaves.bsky.social
PPLs have struggled to gain traction in industry. Conventional wisdom blames scaling. I argue that PPLs' challenges aren't about scaling at all. They're about learning. And sometimes, to go faster, we need to slow down.

heresy.ai/a-better-ppl/

#bayesian #machinelearning
Making PPLs More Useful With Two New Operators | Heresy
Probabilistic programming is a counter play to black box machine learning. Probabilistic programming practitioners seek to build interpretable models of phenomena and to captu…
heresy.ai
1 3

by Daniel G. Saunders

danielsaunders.bsky.social
This piece deftly puts words to my frustration with the way we talk about AI. It’s about education but it feels apt in business, software, etc
mail.cyberneticforests.com/how-does-ope...
How Does OpenAI Imagine K-12 Education?
Close Reading OpenAI's training module for educators If you’re taking a free online training, it's helpful to understand who wrote that lesson plan and why. ChatGPT Foundations for Educators is a cou...
mail.cyberneticforests.com
3

by Daniel G. Saunders

danielsaunders.bsky.social
Sfu! bsky.app/profile/hkan...
Also York! Canada has really strong terminal MAs.
hkandersen.bsky.social
H.K. Andersen @hkandersen.bsky.social · Nov 25
Just read the new Phil Gourmet Report. It is so bad on MA rankings that it is an actual injustice to applicants. It has completely left SFU out of any rankings. Just the US? Why? Our program is, honestly, better for the MA than *all* the programs ranked there. Spread the word about SFU here instead
1

Reposted by: Daniel G. Saunders

hkandersen.bsky.social
Just read the new Phil Gourmet Report. It is so bad on MA rankings that it is an actual injustice to applicants. It has completely left SFU out of any rankings. Just the US? Why? Our program is, honestly, better for the MA than *all* the programs ranked there. Spread the word about SFU here instead
4 3 25

by Daniel G. Saunders

danielsaunders.bsky.social
briefly looking up empirical papers, giving up and resorting to nature documentaries is just ... extremely philosophy.

by Paul E. Smaldino — Reposted by: Daniel G. Saunders

psmaldino.bsky.social
Evolution of Similarity-Biased Social Learning.
 
New preprint with Alejandro Perez Velilla. A long time in the making. Feedback welcome!
 
Here’s a short summary thread.
osf.io/preprints/so...
THE EVOLUTION OF SIMILARITY-BIASED SOCIAL LEARNING
1 9 30

by Daniel G. Saunders

danielsaunders.bsky.social
It seems Ludwig Boltzmann had a bit of a drinking problem.
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by Daniel G. Saunders

danielsaunders.bsky.social
I think @jbakcoleman.bsky.social is pretty interesting. Bayesian to boot!
1

Reposted by: Daniel G. Saunders

nathanielforde.bsky.social
New Deep Dive on Splines and Hierarchical Splines for modelling Insurance Loss curves with Bambi/PyMC.

The focus is on the contrast between interpolation, extrapolation and how including extra hierarchical structure aids generalisation.

nathanielf.github.io/posts/post-w...
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Reposted by: Daniel G. Saunders

dingdingpeng.the100.ci
This is an excellent (very short!) discussion of how to decide which methods to use.

(How can there be so many snappy and highly relevant pieces by Gelman et al. that I haven’t read?!)
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by Daniel G. Saunders

danielsaunders.bsky.social
I picked up the dialectical biologist at a used bookstore a couple weeks ago. It slaps. Includes a whole chapter about pranks they played on EO Wilson along with this strategy for riches and professional success.
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by Daniel G. Saunders

danielsaunders.bsky.social
You might checkout what nathanielf.github.io does. He was a modal logic guy who now does causal inference in industry. Or www.pymc-labs.com/team/benjami... , used to be a cognitive science prof. Both of them would be pretty curious about your work I reckon.

by Daniel G. Saunders

danielsaunders.bsky.social
That truly sucks! I’m so sorry the job market treated you this way. Have you explored applied causal inference consulting for industry?
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