But, was it AI powered?
14.01.2026 07:56
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But, was it AI powered?
I could preorder even a digital version π
This sounds like a functional data analysis-FDA problem. Would you like to share your model in lmer notation?
I've the impression that wetter dough is a thing for pizza not focaccia. Let us know how it went
Is it just me or the barplots with uncertainty looking terribly ugly? Why not point-interval or something else?
When you're done with the poor leadership you come to realise that's better to do it yourself
Does this mean that a shark attack won't lead to drowning?
Maybe this post from the same author could help
elevanth.org/blog/2021/06...
The other day I saw a post on LinkedIn saying the Bayesianism has failed.
I felt like the time machine had worked and I was a few decades back in time.
What would be a simple and less simple estimand ?
If this isn't a rhetoric, sure there is dtplyr
On several occasions I've seen your responses on stack exchange. Thanks for helping!
π Research integrity consultant and image forensics expert @elisabethbik.bsky.social has uncovered fraudulent data in over 7,600 scientific papers and exposed the practices of βpaper millsβ that produce counterfeit scientific articles. She is honoured with the β¬200K Individual Award. Congrats!
Thanks for sharing! Will your talk become available too?
Too old method
You've made Bayesian statistics approachable. It's a lighthouse in a storm of confusion.
That reminds me this recording from Richard Mcerleath
m.youtube.com/watch?v=oMiS...
What do we see here?
Would you like to give some description of the snip?
If you ever find yourself struggling to conceptualize/develop/implement interpretable statistical models in a world of black box methods, or are just interested in talking about them, I set up a Discord server for (narratively) generative modeling discussion some time back, discord.gg/gGUzQ5dg.
ICYMI StanCon '24 Sept 10-12 at the Oxford School of Witchcraft and Probabilistic Programming, now accepting proposals for contributed talks and tutorials. Hope to see Stan stans there #stats
Packages like jmp and xlstat have menus (and maybe examples) of performing tangle test
community.jmp.com/t5/JMP-Add-I...
help.xlstat.com/6412-sensory...
I've found myself struggling to choose the right vocabulary for an EDA.
In a boxplot series, can I say the median in A is higher than in B
In a scatterplot can I say the blue points are higher than the green points?
It doesn't sound right but I've seen it. Any literature about the subject?
#rstats
It really isn't ok to omit the raw data from plots like these, especially when there are only ~50 study participants. And why isn't there any indication of uncertainty in these modeled fits? And don't get me started on the x-axis labels. This is THE result from this paper. Why should I trust it?
Given that this discussion can be helpful for someone else out there it would be good to give a feedback, no?
A doctoral position in English Language and Linguistics at Lund University, Sweden - application period ends 15 February 2024
lu.varbi.com/en/what:job/...
Ξ was ready to post that meme too but then I read the blog... π«‘
A screenshot of Causal Inference in R: Causal Diagrams
A screenshot of a DAG from Causal Inference in R showing two open pathways in an analysis a scientist must account for to get the correct answer
A screenshot of a DAG from Causal Inference in R showing how to describe feedback loops in causal diagrams
We've made a major update to the causal diagrams chapter of Causal Inference in R! Check it out to learn about DAGs! I think there's a lot in this chapter that is undercovered in other sources. #rstats #causalinference @lucystats.bsky.social @travisgerke.bsky.social www.r-causal.org/chapters/05-...
Is there a DAG for that??