Some of the popular chain restaurant recommendations: Sushiro, Kurasushi, Tsurutontan (udon noodles), Ohtoya (Japanese), Yayoi Ken (Japanese), Gyoza no Ohsho (Chinese), Coco curry. Hope you enjoy Japan!!

You are right. That's why I'm trying to develop a good understanding so that I can make my judgments! And your summer school really helped me understand stats better :)

I think it’d be a great addition! Especially because I saw recommendations against using BF due to its sensitivity to priors, so instead using CI or HDI for NHST. That’s why I got confused when I read the statement in your book. I’ll read more papers/books and try to get a full understanding on this

Thank you so much for all the recommended readings!!!

Thank you so much for the elaborate answer! It was very informative!!

I'm currently reading the paper. Thanks a lot for your suggestion!

Thank you for the response! I think one should reject the null in case 1 and fail to reject in case 2, although "0.0000001" is a tiny diff. I see the point here, but doesn't this issue apply to any discrete decisions based on continuous measures? Or would this be less of a problem for Bayes factor?

bruno.nicenboim.me/bayescogsci/

@bruno-nicenboim.fediscience.org.ap.brid.gy , @shravanvasishth.bsky.social #bayesian, #stats

I see, good to know! I’ll try segmented regression and splines and see which one makes more sense for my data ;)

Yes, that’s exactly what I had in mind! Didn’t know that they are called segmented regression. Thanks for your reply😊

This is amazing!!! Would it also make sense to model age as a continuous predictor within different age bins? So instead of getting one point estimate (flat line) for the in-between solution, we would fit a regression line in each binned age so that the flat lines will follow the date better?

Thanks a lot, Martha!!

If you can't attend the talk but are interested in the work, we have a preprint available!!
osf.io/preprints/ps...

This is a collaborative work with
@dingemansemark.bsky.social and @asliozyurek.bsky.social 🙌