Dylan Lance Armbruster
@dylanarmbruster3.bsky.social
MS student in Statistics
BS in Statistics
BS in Statistics
Reposted by Dylan Lance Armbruster
Register here (for FREE): www.causalscience.org
Can't join? Subscribe to get a notification when the recording is out: causalbanditspodcast.com
**Read the report: genderedinnovations.stanford.edu/case-studies...
6/6
#CausalSky
Can't join? Subscribe to get a notification when the recording is out: causalbanditspodcast.com
**Read the report: genderedinnovations.stanford.edu/case-studies...
6/6
#CausalSky
Causal Data Science Meeting - Home
Fostering a dialogue between industry and academia on causal data science.
www.causalscience.org
November 5, 2025 at 8:18 AM
Register here (for FREE): www.causalscience.org
Can't join? Subscribe to get a notification when the recording is out: causalbanditspodcast.com
**Read the report: genderedinnovations.stanford.edu/case-studies...
6/6
#CausalSky
Can't join? Subscribe to get a notification when the recording is out: causalbanditspodcast.com
**Read the report: genderedinnovations.stanford.edu/case-studies...
6/6
#CausalSky
statisticool.com/mathstat/rep...
Worth reading WRT Replication Crisis.
Worth reading WRT Replication Crisis.
Statisticool.com
Statistics, Poetry, Investing, and other Articles
statisticool.com
February 17, 2025 at 10:08 PM
statisticool.com/mathstat/rep...
Worth reading WRT Replication Crisis.
Worth reading WRT Replication Crisis.
Reposted by Dylan Lance Armbruster
The third installment of the “how should we actually construct our causal graphs anyway” series is out now! 👇🏼
Nick & I ask the question: can we just get an LLM to tell us what belongs on the graph?
Nick & I ask the question: can we just get an LLM to tell us what belongs on the graph?
New working paper out today with @epiellie.bsky.social called "Do LLMs Act as Repositories of Causal Knowledge?"
Can LLMs (ie ChatGPT) build for us the causal models we need to identify an effect? There are reasons to expect they could. But can they? Well, not really, no.
arxiv.org/html/2412.10...
Can LLMs (ie ChatGPT) build for us the causal models we need to identify an effect? There are reasons to expect they could. But can they? Well, not really, no.
arxiv.org/html/2412.10...
Do LLMs Act as Repositories of Causal Knowledge?
arxiv.org
December 17, 2024 at 10:03 PM
The third installment of the “how should we actually construct our causal graphs anyway” series is out now! 👇🏼
Nick & I ask the question: can we just get an LLM to tell us what belongs on the graph?
Nick & I ask the question: can we just get an LLM to tell us what belongs on the graph?
I think Statistics and Probability courses are worth the effort if it is calculus based probability. So, if you were in HS and had to choose between AP Stats or AP Calculus. AP calculus is worth more of your time. Despite that, if you really don't plan on getting up to Multi variable Calculus...
December 9, 2024 at 4:51 PM
I think Statistics and Probability courses are worth the effort if it is calculus based probability. So, if you were in HS and had to choose between AP Stats or AP Calculus. AP calculus is worth more of your time. Despite that, if you really don't plan on getting up to Multi variable Calculus...
I think there are about 4 fairly popular math stat textbooks(Hogg, Larsen, Rice, Wackerly) that universities use right now, but I found this one to be the most enjoyable. It's self contained and the examples are fair. I used it before going to university to self teach.
November 27, 2024 at 4:57 PM
I think there are about 4 fairly popular math stat textbooks(Hogg, Larsen, Rice, Wackerly) that universities use right now, but I found this one to be the most enjoyable. It's self contained and the examples are fair. I used it before going to university to self teach.
Currently reading this at the moment. It's a quick read(I'm almost finished already!)! But it's very entertaining. I'd recommend this book to mathematicians and statisticians in industry.
November 22, 2024 at 9:50 PM
Currently reading this at the moment. It's a quick read(I'm almost finished already!)! But it's very entertaining. I'd recommend this book to mathematicians and statisticians in industry.