#CausalSky
{DAGassist} let's you process a DAG and estimate models giving {dagitty} input and baseline model #CausalSky #rstats
cran.r-project.org/web/packages... I think {ggdag} has more to offer for analysis of a DAG, while {DAGassist} is a one-stop package for classifying variables and getting estimates
October 30, 2025 at 7:16 PM Everybody can reply
5 reposts 18 likes 8 saves
Why do LLMs Systematically Drive Themselves to Extinction?

And what does it have to do with evolution, moral reasoning, and causality?

In the brand-new episode of Causal Bandits, we meet...

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#CausalSky #StatSky #Science #MLSky #EpiSky #EconSky #PsychSky
October 29, 2025 at 8:38 AM Everybody can reply
1 reposts 7 likes 2 saves
All of the previous Causal Inference Interest Group seminar recordings are also now available on our new website!

cls-data.github.io/CIIG/

#CIIG #EpiSky #CausalSky
October 21, 2025 at 3:57 PM Everybody can reply
3 reposts 13 likes 2 saves
Building DAGs for supply chain: always fun, sometimes a challenge

If you have experience with causal analysis for supply chains -- what's one lesson that you'd share with your intern on day 1?

For me it'd be: be explicit about time order

#CausalSky #SupplyChain #StatSky #MLSky
October 22, 2025 at 8:26 AM Everybody can reply
1 reposts 3 likes
This paper’s been popping as “evidence” that you can’t do real #causalinference w/ obs data. To me it shows you need rigorous pre-specified design (in addition to the willingness to fold when your hypothesis is not possible to answer with the data at hand). #EpiSky, #CausalSky, #AcademicSky
October 22, 2025 at 2:59 PM Everybody can reply
4 reposts 1 quotes 10 likes 6 saves
Can 5g of creatine improve your IQ scores?

Spoiler: Probably not, but here’s one thing that can improve your causal inferences

When we design and analyze randomized controlled trials (A/B tests) using the traditional frequentist framework, we often focus on p-values

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#CausalSky #StatSky #ABTest
October 22, 2025 at 7:18 AM Everybody can reply
3 likes
📜 Paper: arxiv.org/abs/2510.14582

-------

**Complete given our problem definition

***Powerful, but not perfect: conditional independence testing can be challenging in finite samples

****In the worst-case scenario, for real-world sparse graphs scaling can be more friendly

8/8

#CausalSky
Local Causal Discovery for Statistically Efficient Causal Inference
Causal discovery methods can identify valid adjustment sets for causal effect estimation for a pair of target variables, even when the underlying causal graph is unknown. Global causal discovery metho...
arxiv.org
October 20, 2025 at 8:44 AM Everybody can reply
2 likes 1 saves
Looking for a causality-related PhD program?

@tobigerstenberg.bsky.social might have something for you!

#CausalSky #StatSky
The Causality in Cognition Lab at Stanford University is recruiting PhD students this cycle!

We are a supportive team who happened to wear bluesky appropriate colors for the lab photo (this wasn't planned). 💙

Lab info: cicl.stanford.edu
Application details: psychology.stanford.edu/admissions/p...
October 18, 2025 at 7:41 AM Everybody can reply
2 reposts 5 likes
What are the best books on causality and causal ML you've ever read?

Why these ones?

In 2018, I started reading everything on causality I could possibly find.

At that time I had a few successful large-scale ML projects on my account both in business and academia.

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#CausalSky #MLSky #StatSky
September 19, 2025 at 8:29 AM Everybody can reply
1 reposts 3 likes
He did it before Double Machine Learning

I met with professor Mark van der Laan because I think his work is pretty incredible and it sometimes feels like a secret that only a few people know about, especially in industry.

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#CausalSky #StatSky #CausalInference
September 12, 2025 at 8:29 AM Everybody can reply
3 reposts 5 likes 1 saves
NEW PAPER! (in press in EPIDEMIOLOGY)

Have you wondered:
- How to specify a target trial: as an ideal trial or something else?
- What biases do target trial emulations and actual RCTs share?
- How does it all relate to potential outcomes?

Read here! 👉 arxiv.org/abs/2405.10026
#EpiSky #CausalSky
The ideal trial: defining causal estimands that balance relevance and feasibility in target trial emulations and actual randomized trials
Causal inference is the goal of randomized trials and many observational studies. The first step in a formal causal inference framework is to define the causal estimand, and in both types of study thi...
arxiv.org
September 9, 2025 at 11:23 PM Everybody can reply
8 reposts 1 quotes 22 likes 7 saves
I recently updated my #Rstats package {optweight} for the first time in 6 years(!), and I want to give it the attention it deserves with an announcement and mini thread.

In short, {optweight} uses optimization to estimate balancing weights in observational studies.

#episky #statssky #causalsky

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Optimization-Based Stable Balancing Weights
Use optimization to estimate weights that balance covariates for binary, multi-category, continuous, and multivariate treatments in the spirit of Zubizarreta (2015) <doi:10.1080/01621459.2015.1023805>...
ngreifer.github.io
September 9, 2025 at 2:31 PM Everybody can reply
5 reposts 1 quotes 30 likes 7 saves
Propensity Score Matching (PSM) can mislead you badly.

Here are 3 caveats on PSM, and the third one is the trickiest:

1️⃣ I learned that PSM is often taught as if it was a magic method that can recover causal effects from arbitrary observational data.

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#CausalSky #StatSky
September 5, 2025 at 8:29 AM Everybody can reply
5 likes 1 saves
A Brand-New Book on Causal AI (FREE)

Elias Bareinboim is an Associate Professor of Computer Science at Columbia University and the director of the CausalAI Lab.

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#CausalSky #CausalAI
September 3, 2025 at 8:29 AM Everybody can reply
1 reposts 5 likes
In recent years, following all the progress happening at the intersection of causality and deep learning has become increasingly difficult.

Rapid growth of the field, further accelerated by the emergence of large foundation models, has resulted in...

🧵 1/

#CausalSky #MLSky
February 28, 2025 at 9:29 AM Everybody can reply
2 reposts 9 likes
what is your take on the definition of proxy variable?

Is it X = X* + e, .....OR..... X* = X + e ? whereby X is measured/observed, and X* is latent/unobserved , e is noise.

#causalsky #econsky #causalinference
November 9, 2024 at 4:43 PM Everybody can reply
1 reposts 6 likes
Amazing turnout for the first #CIIG seminar to hear @igelstorm.bsky.social talking about income as a causal exposure. People have joined from UK, USA, France, Germany, Switzerland, Austria, Norway, Netherlands, India, Korea, Malawi, Brazil, Saudi Arabia, Chile!

#CausalSky #EpiSky
January 20, 2025 at 3:19 PM Everybody can reply
1 reposts 12 likes
What do have gloves in common with world models and decision-making?

Dr Juan Orduz has an answer (a new episode)

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#causalsky #causality #marketing #podcast
November 16, 2023 at 10:56 AM Everybody can reply
1 likes
This is one of the best real-world examples for why causality matters that I encountered so far.

And it's extremely simple.

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#CausalSky #DecisionMaking #Business
September 17, 2025 at 8:31 AM Everybody can reply
1 reposts 1 likes 1 saves
In 2025, burn the pyramid.

Climb the ladder instead.

Pyramids of evidence are a popular device for conveying the idea that different types of studies provide different strengths of evidence for causal claims.

🧵 1/

#causality #causalSky
January 1, 2025 at 10:00 AM Everybody can reply
2 reposts 1 likes
Looking for a post-doc position in Causal Inference? 👇🏼

#CausalSky #EpiSky #StatSky #EconSky
Dave Lagnado is looking for a post doc to work on causal inference! The BR-UK team is doing some very cool stuff, so if you're currently looking for a job, check this out: www.ucl.ac.uk/work-at-ucl/...
March 5, 2025 at 5:10 PM Everybody can reply
1 reposts 4 likes
Not all real-life decisions are about one dimensional outcomes.

When applying for a new job, we might care about the compensation, but also the company's mission or their work-from-home policy.

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#CausalSky
June 2, 2025 at 8:29 AM Everybody can reply
1 likes