upicchini.bsky.social
Full Professor at @deptmathgothenburg.bsky.social | simulation-based inference | Bayes | stochastic dynamical systems | https://umbertopicchini.github.io/
42 posts
1,389 followers
188 following
Regular Contributor
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But of course there is nothing wrong with being political. That's totally understandable. My *personal* issue is with the occasional users that repost twenty+ times a day
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For me the experience is ruined by the compulsive reposting ("retweets" using X terminology) of political stuff. Unfortunately there is currently no way to mute reposts coming from a specific user, one I do not wish to completely mute , only mute his/her reposts
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then I can contribute with my sadness for not having a 2025 paper published in AoS, Biometrika, JASA, JMLR, JRSS B 😅
Joking: laudable initiative! 😀
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I loved the plot twist! Great movie overall
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Sorry for that, i hate links to pdfs too. I use the Redirectify extension (Chrome, Firefox) to redirect to the arxiv abstract page automatically
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I guess the answer is that indeed it is not about mixed-effects models
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just a question: I wonder whether, with "trial-based SBI", you mean "mixed-effects SBI", but I don't think that's what you imply as I don't see parameters for individual experiments, so I am asking just to be sure. (I looked also at the other doc for permutation-invariant embeddings)
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That's the ELLIS starter pack ;)
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I use Redirectify, available for Chrome and Firefox
chromewebstore.google.com/detail/redir...
addons.mozilla.org/en-US/firefo...
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📌
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(3/x)
To submit papers, and and at the same time, to write very poor reviews, is hurting other scientists and science in general. It's an abuse of the system, and we must definitely not accept it.
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to write threads of post (as on X) you can use @bluethread.bsky.social that is bluethread.pythonanywhere.com
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@ryanpkelly.bsky.social belongs here
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how about @martynplummer.bsky.social
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please add @dennisprangle.bsky.social
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ah! And I know why you are excited! ;) (I remember your ISBA poster)
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“Either you perform and bring profits to the company, or it’s more convenient to leave.” [3/3]
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"Performance metrics for editorial staffers prioritize the quantity of published manuscripts over their quality [...] It incentivizes us to push towards publication instead of rejection" [2/3]
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it generated a 15 minutes podcast involving a realistic discussion between two persons about the paper. It was an engaging conversation, with very realistic voices, interruptions, accents. Incredible. (4/4)
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When the AI Notebook returns comments, it also cites the exact paragraphs in the paper that are relevant for the comments.
You can see where this is going. You can also use it to extract a summary of a paper you wish to read, and "scaringly enough".... (3/4)
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I tested some of the questions and remarks that I wrote in my own review: the results were astounding. The AI comments confirmed the goodies in the paper and (more importantly) also the problems that I raised in the review. (2/4)