Aki Vehtari
@avehtari.bsky.social
Professor in computational Bayesian modeling at Aalto University, Finland. Bayesian Data Analysis 3rd ed, Regression and Other Stories, and Active Statistics co-author. #mcmc_stan and #arviz developer.
Web page https://users.aalto.fi/~ave/
Web page https://users.aalto.fi/~ave/
btw "number of effective samples" is wrong and misleading, and should be "the effective sample size"
November 25, 2025 at 2:03 PM
btw "number of effective samples" is wrong and misleading, and should be "the effective sample size"
Since I made the recommendation for the current default prior in brms, of course I say that it's perfectly acceptable.
You can follow the PC-prior paper guidance for how to adjust PC-priors depending on how close to the reference distribution you want this prior to concentrate.
You can follow the PC-prior paper guidance for how to adjust PC-priors depending on how close to the reference distribution you want this prior to concentrate.
November 17, 2025 at 9:03 PM
Since I made the recommendation for the current default prior in brms, of course I say that it's perfectly acceptable.
You can follow the PC-prior paper guidance for how to adjust PC-priors depending on how close to the reference distribution you want this prior to concentrate.
You can follow the PC-prior paper guidance for how to adjust PC-priors depending on how close to the reference distribution you want this prior to concentrate.
See Stan Prior choice wiki github.com/stan-dev/sta...
November 15, 2025 at 7:57 PM
See Stan Prior choice wiki github.com/stan-dev/sta...
It looked much more impressive for the naked eye. The photo is with a phone and daylight setting. The night mode photo was too bright, losing contrast. The photo also misses the movement and immersion
November 2, 2025 at 2:06 PM
It looked much more impressive for the naked eye. The photo is with a phone and daylight setting. The night mode photo was too bright, losing contrast. The photo also misses the movement and immersion
Thanks for the feedback! Can you add your comments to the PR discussion? It's easier to discuss there without message length limit.
Shortly:
p_worse is expected to be too high when |elpd_diff|<4
Reporting all diagnostics would take too much space, and thus they are in order of dominance
Shortly:
p_worse is expected to be too high when |elpd_diff|<4
Reporting all diagnostics would take too much space, and thus they are in order of dominance
October 29, 2025 at 3:20 PM
Thanks for the feedback! Can you add your comments to the PR discussion? It's easier to discuss there without message length limit.
Shortly:
p_worse is expected to be too high when |elpd_diff|<4
Reporting all diagnostics would take too much space, and thus they are in order of dominance
Shortly:
p_worse is expected to be too high when |elpd_diff|<4
Reporting all diagnostics would take too much space, and thus they are in order of dominance