Reposted by daniel saundersAlexandre Andorra @alex-andorra.bsky.social · 4hSuch a pleasure to host my friends Bill Engels and Jesse Grabowski, to talk #GaussianProcesses and #AIworkflows no less! Enjoy, my dear Bayesians 🖖 022
Reposted by daniel saundersNathaniel Haines @natehaines.bsky.social · 03/06/2026here is the full sequence 🤓 0203
daniel saunders @danielsaunders.bsky.social · 27/02/2026at my job I’m expectedutilitymaxxing. I chatted with @alex-andorra.bsky.social on how to make it scalable and fast in an industrial context on top of the probabilistic programming language you already love, PyMC. 011
Reposted by daniel saundersAndrew Gelman et al. @statmodeling.bsky.social · 28/01/2026OK, I reread that classic paper by Paul Meehl, and . . . statmodeling.stat.columbia.edu/2026/01/28/o...statmodeling.stat.columbia.edu OK, I reread that classic paper by Paul Meehl, and . . . | Statistical Modeling, Causal Inference, and Social Science 0133
Reposted by daniel saundersMichael "Shapes Dude" Betancourt @betanalpha.bsky.social · 03/12/2025In particular the latter step is often rich with modeling opportunities even if the theory of the latent phenomena is lacking. I often meet people who claim there is not enough domain expertise for a bespoke model but then go on for ten minutes about the intricacies of their measurement process. 111
daniel saunders @danielsaunders.bsky.social · 28/11/2025Some people are out here practicing the One and True Scientific Method (bayes on structural economic models) and they are kind of enough to write books about how to do it. 100
Reposted by daniel saundersJessica Hullman @jessicahullman.bsky.social · 17/10/2025It’s become fashionable in some circles to reject decision theory (and other basic statistical ideas) for vaguely political reasons. There are valid critiques—but also some worth being wary of. Some thoughts: statmodeling.stat.columbia.edu/2025/10/17/s...statmodeling.stat.columbia.edu Separating the whack from the chaff in critiques of decision theory | Statistical Modeling, Causal Inference, and Social Science 0154
Reposted by daniel saundersBritish Journal for the Philosophy of Science @thebjps.bsky.social · 06/10/2025Are you a phd student? Are you in the vicinity of one and want to help them with their bad life choices? Then this is for you! #philsci 1117
daniel saunders @danielsaunders.bsky.social · 13/08/2025This 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 020
daniel saunders @danielsaunders.bsky.social · 13/08/2025Ian 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 140
daniel saunders @danielsaunders.bsky.social · 01/07/2025Woo congrats to Nathan and your team! Excited to read this :) 010
daniel saunders @danielsaunders.bsky.social · 26/06/2025Okay but what about when you are just trynna have a good time making stuff? 000
daniel saunders @danielsaunders.bsky.social · 04/06/2025It’s an amazing package. The website also has a bunch of neat strategies to diagnose hmc samplers, ones I haven’t seen discussed elsewhere. 030
Reposted by daniel saundersJulia M. Rohrer @dingdingpeng.the100.ci · 22/05/2025“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.” 1101
Reposted by daniel saunderslastpositivist.bsky.social @lastpositivist.bsky.social · 22/05/2025Friend telling me about how few statisticians are actually Bayesians. It's a real shame how far we have fallen from God's light. 5544
daniel saunders @danielsaunders.bsky.social · 13/05/2025Insanely bad. I manually turn off the tab function whenever I’m about to be notebooking for a while. 000
Reposted by daniel saundersAki Vehtari @avehtari.bsky.social · 05/05/2025Mitzi 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 interfacesmc-stan.orgThe Sum-to-Zero Constraint in Stan 0194
daniel saunders @danielsaunders.bsky.social · 13/02/2025It’s out 😮 I just checked last week to be teased with a mere abstract. 000
daniel saunders @danielsaunders.bsky.social · 15/01/2025A 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 000
daniel saunders @danielsaunders.bsky.social · 30/12/2024Feels 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. 000
Reposted by daniel saundersPyMC Labs @pymc-labs.bsky.social · 24/12/2024🎄✨ 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 044
daniel saunders @danielsaunders.bsky.social · 29/11/2024This 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...mail.cyberneticforests.comHow 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... 030
daniel saunders @danielsaunders.bsky.social · 25/11/2024Sfu! bsky.app/profile/hkan... Also York! Canada has really strong terminal MAs. 010
daniel saunders @danielsaunders.bsky.social · 21/10/2024briefly looking up empirical papers, giving up and resorting to nature documentaries is just ... extremely philosophy. 000
Reposted by daniel saundersPaul Smaldino @psmaldino.bsky.social · 02/10/2024Evolution of Similarity-Biased Social Learning (by me + Alejandro Pérez Velilla). Now in press at Evolutionary Human Sciences. Formalizes the long-standing idea that, for better or worse, it may be adaptive to ignore or down-weight information from outgroup sources. osf.io/preprints/so... 2289
daniel saunders @danielsaunders.bsky.social · 06/09/2024It seems Ludwig Boltzmann had a bit of a drinking problem. 010
daniel saunders @danielsaunders.bsky.social · 24/06/2024I think @jbakcoleman.bsky.social is pretty interesting. Bayesian to boot! 010
Reposted by daniel saundersNathaniel Forde @nathanielforde.bsky.social · 13/06/2024New 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... 171
Reposted by daniel saundersJulia M. Rohrer @dingdingpeng.the100.ci · 14/04/2024This 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?!) 2122
daniel saunders @danielsaunders.bsky.social · 28/03/2024I 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. 010
daniel saunders @danielsaunders.bsky.social · 20/03/2024You 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. 010
daniel saunders @danielsaunders.bsky.social · 19/03/2024That truly sucks! I’m so sorry the job market treated you this way. Have you explored applied causal inference consulting for industry? 100
daniel saunders @danielsaunders.bsky.social · 12/03/2024Extremely cool! I’m looking forward to digging into this paper more! 000
daniel saunders @danielsaunders.bsky.social · 11/03/2024I spend the first 5 weeks teaching python and simulation-based inference. Lots of emphasis on playing with model assumptions. No textbook. I just have all the lectures written up as colab notebooks github.com/daniel-saund... 000
daniel saunders @danielsaunders.bsky.social · 11/03/2024I've been teaching a version of this class for a couple years. The hard tradeoff is how much of the class should be spent on practical skills vs explaining why common practice in journals is bananas. Students like the class more when there are more dunks obviously! 110
daniel saunders @danielsaunders.bsky.social · 01/03/2024With blackjax, nutpie, numpyro, it compiles for 60 seconds. Then the progress bar goes from 0 to 100% in the blink of an eye. I'm telling you, people enjoy horse races more than formula 1 for a reason. 000
daniel saunders @danielsaunders.bsky.social · 01/03/2024I'm starting to worry that the advanced compiler-NUTS samplers that have come out in the last couple years have taken the thrill out of bayes. In pymc3, I'd stare at the progress bar with glean and horror. Sometimes, it would get abruptly faster for no reason. Sometimes, it would stop. 000
daniel saunders @danielsaunders.bsky.social · 22/01/2024Dropping by a Bayesian ecology conference today to see what they are doing. Apparently, it is strapping an accelerometer onto wild sharks. Then fitting hidden markov models to classify the sharks into "resting", "methodical exploration", and "rapid exploration". 010
daniel saunders @danielsaunders.bsky.social · 21/01/2024Is the complaint half right though? Not the epidemiologists don’t think dynamically bit. But DAGs just cannot represent feedback or self-loops so it does seem funny to represent complex systems with them. 110
daniel saunders @danielsaunders.bsky.social · 17/01/2024For sure, nuance always matters and toy models are more suggestive than conclusive. I just think this line of reasoning shows how fruitful the group selection framework can be - we know a lot about when it fails (migration) and how to patch up the failures (holding your labs mates accountable) 010
daniel saunders @danielsaunders.bsky.social · 17/01/2024Some of these group-selection for cooperation arguments are designed to address this sort of worry. The groups maintain cooperation by punishing defectors, like a research group telling someone their lazy method won’t fly on this team. 000
Reposted by daniel saundersMichael "Shapes Dude" Betancourt @betanalpha.bsky.social · 15/01/2024Curious about how probability distributions transform? Ever wondered from where the term “marginal probability” comes? Confused by those “Jacobian” things? Have I got some writing for you. 342
daniel saunders @danielsaunders.bsky.social · 18/12/2023Nancy Cartwright is so impressive. She has a MasterClass now. Even more impressive its on a subject not in her AOS. 140
Reposted by daniel saundersDiane Coyle @dianecoyle1859.bsky.social · 17/12/2023When preferences change: www.enlightenmenteconomics.com/blog/index.p... 274
daniel saunders @danielsaunders.bsky.social · 13/12/2023when u open the assignment to see those overleaf-leave-space-for-the-reader-to-draw-graphs-sized margins and the default-I-know-my-IQ-score-type font, u can just assign them an A and move onto the next one. 000