iiinova — where your digital self keeps evolving

Reposted by Erik Ringen

Hadas Weiss @hadas.bsky.social · 28/04/2026

In what follows, I will resolve the contradiction I made up

Erik Ringen @err-ring.bsky.social · 20/04/2026

And big thanks to @jsmartin.bsky.social and @jaeggiadrian.bsky.social for sticking around on the long haul to get this paper out!

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Reposted by Erik Ringen

Methods in Ecology and Evolution @methodsinecoevol.bsky.social · 22/03/2026

🏅 Shortlisted for the 2025 Robert May prize! 🏅 In his paper, @jsmartin.bsky.social proposes a statistical model for detecting how complex, continuously varying environments shape the expression of and association among multiple organismal traits 🌍 Read more here 👇

buff.ly

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Reposted by Erik Ringen

Julia M. Rohrer @dingdingpeng.the100.ci · 04/02/2026

New preprint! So, what's a multiverse analysis good for anyway?> With @jessicahullman.bsky.social and @statmodeling.bsky.social juliarohrer.com/wp-content/u...

What’s a multiverse good for anyway?

Julia M. Rohrer, Jessica Hullman, and Andrew Gelman

Multiverse analysis has become a fairly popular approach, as indicated by the present special issue on the matter. Here, we take one step back and ask why one would conduct a multiverse analysis in the first place. We discuss various ways in which a multiverse may be employed – as a tool for reflection and critique, as a persuasive tool, as a serious inferential tool – as well as potential problems that arise depending on the specific purpose. For example, it fails as a persuasive tool when researchers disagree about which variations should be included in the analysis, and it fails as a serious inferential tool when the included analyses do not target a coherent estimand. Then, we take yet another step back and ask what the multiverse discourse has been good for and whether any broader lessons can be drawn. Ultimately, we conclude that the multiverse does remain a valuable tool; however, we urge against taking it too seriously.

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Erik Ringen @err-ring.bsky.social · 07/10/2025

"For you, intelligence is not one thing among many. Every day it devours everything. It would like to put an end to a new state of society every morning." 1/n

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Charles Driver @charlesdriver.bsky.social · 28/05/2025

Postdoc position open in Zurich -- Prof. Martin Tomasik and I have a joint SNF project on interpretable neural network approaches for large scale, complex item / temporal structure, online learning / cognitive development data. Please retweet. tinyurl.com/PostdocGNNSNF

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Nathan Kalman-Lamb @nkalamb.bsky.social · 03/05/2025

I’m not sure I’ve ever seen something so simultaneously absurd and disturbing: the House will vote Monday on a bill that would punish Americans for participating in boycotts of Israel with fines of up to $1 MILLION or prison terms up to TWENTY YEARS.

🚨NEWS: The House is set to vote Monday on H.R. 867, the “IGO Anti-Boycott Act,” which would punish Americans with fines of up to $1 million or prison terms up to 20 years for participating in boycotts of Israel or Israeli settlements that are promoted by international governmental organizations (IGOs), such as the UN or EU.

The bill, sponsored by pro-Israel lawmaker Rep. Mike Lawler, expands U.S. anti-boycott law to target voluntary, values-based political action by U.S. citizens. Its aim is to shield Israel from nonviolent international pressure campaigns such as BDS.

Rights groups say the legislation criminalizes constitutionally protected political expression and is part of a broader push to suppress opposition to Israeli genocide, apartheid, and illegal settlement expansion, under the guise of fighting antisemitism.

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Erik Ringen @err-ring.bsky.social · 05/04/2025

Excited to share that I’ve started a new role as Principal Data Scientist with @pymc-labs.bsky.social. I’m working with and learning from an amazing group of people to do applied Bayesian modeling and advance open-source @pymc.io libraries.

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Reposted by Erik Ringen

Jarrett Byrnes @jebyrnes.bsky.social · 21/12/2024

OK, here is a very rough draft of a tutorial for #Bayesian #SEM using #brms for #rstats. It needs work, polish, has a lot of questions in it, and I need to add a references section. But, I think a lot of folk will find this useful, so.... jebyrnes.github.io/bayesian_sem... (use issues for comments!)

jebyrnes.github.io

Full Luxury Bayesian Structural Equation Modeling with brms

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Julia M. Rohrer @dingdingpeng.the100.ci · 06/12/2024

Ah, I found what I was looking for! From Imai et al.'s "Unpacking the Black Box of Causality" (2011). This is coming from the angle of two experiments in which you identify A -> B and B -> C and why you cannot infer the average causal mediation effect from that.

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Adrian Jaeggi @jaeggiadrian.bsky.social · 02/12/2024

🚨 JOB ALERT!! We're looking for a PhD student to join our group! Are you interested in evolutionary medicine / anthropology? Already have a master's? Apply with your own project ideas! See link: jobs.uzh.ch/job-vacancie... #EvMed @bioanth.org @ehbea.bsky.social Please RT!

jobs.uzh.ch

UZH: PhD position in evolutionary anthropology and medicine

The Human Ecology Group of the Institute of Evolutionary Medicine (IEM) Institute of Evolutionary Medicine at the University of Zurich, led by Prof. Adrian Jaeggi, is inviting applications from prospe...

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Vincent Arel-Bundock @vincentab.bsky.social · 02/12/2024

Our JSS article is out! And now I get to focus on {marginaleffects} 1.0.0. Stay tuned. www.jstatsoft.org/article/view...

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Paul Bürkner @paulbuerkner.com · 26/11/2024

Prior specification is one of the hardest tasks in Bayesian modeling. In our new paper, we (Florence Bockting, @stefanradev.bsky.social and me) develop a method for expert prior elicitation using generative neural networks and simulation-based learning. arxiv.org/abs/2411.15826

arxiv.org

Expert-elicitation method for non-parametric joint priors using normalizing flows

We propose an expert-elicitation method for learning non-parametric joint prior distributions using normalizing flows. Normalizing flows are a class of generative models that enable exact, single-step...

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Reposted by Erik Ringen

Jordan S. Martin @jsmartin.bsky.social · 26/11/2024

Our updated EcoEvoRxiv preprint "Estimating (non)linear selection on reaction norms: A general framework for labile traits" is now live. Work done in collaboration with Yimen Araya-Ajoy, Niels Dingemanse, @ali--wilson.bsky.social, and David Westneat. ecoevorxiv.org/repository/v...

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Erik Ringen @err-ring.bsky.social · 24/11/2024

Conversely, the tools of “exploratory” data analysis lend more credibility and clarity to scientific claims than statistical testing ever could.

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Reposted by Erik Ringen

Vincent Arel-Bundock @vincentab.bsky.social · 21/11/2024

𝚝𝚒𝚗𝚢𝚝𝚊𝚋𝚕𝚎 0.6.1 for #Rstats is out! It's an ultra simple, super flexible, and 0-dependency package to draw beautiful tables in HTML, LaTeX, Typst, Word, PDF, and PNG. And for those who ❤️ documentation, 𝚝𝚒𝚗𝚢𝚝𝚊𝚋𝚕𝚎 ships with a billion pages of tutorials: vincentarelbundock.github.io/tinytable/

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Erik Ringen @err-ring.bsky.social · 18/11/2024

New blog post (and uh, new blog!) If you use observation-level random effects (e.g., for over-dispersed counts), your predictive checks are probably wrong. Here's how to do it the right way in both #brms and #PyMC. tl;dr: you need to sample new levels of the OLRE to avoid a false goodness-of-fit

erikringen.github.io

The right way to do predictive checks with observation-level random effects – Erik J. Ringen, PhD

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Erik Ringen @err-ring.bsky.social · 25/09/2023

This primer on between/within effects (using Mundlak device) is the paper I pull-up more often than any other during stats consultations. Better approaches exist (latent mean centering) but the explanations and figures here are top notch. www.sciencedirect.com/science/arti...

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Erik Ringen @err-ring.bsky.social · 22/09/2023

Teaching statistics to grad students this semester. Reading Freedman's anti-regression piece "Statistical Models and Shoe Leather" (paper brought to my attention by @edhagen.net) next week to calibrate expectations. Tag urself on his ordinal scale of pessimism.

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