Aki Vehtari
Aki Vehtari
@bnicenboim any update on this?
> I forget why we used x[floor(n/4 + .5)]. @avehtari do you remember if we chose to use that instead of using quantile() for a particular reason? It's because I...
> but I think this only requires changing one line in the documentation It's implemented and documented in more than one place, so there is more work. > and it...
I prefer the behavior in different functions to be consistent, so if E_loo does that then it would be good to have in other functions, too
> I think that in our latest Rhat paper we also moved to 1.05 as we realized 1.01 was too strict. No we didn't. Let me get back from my...
I don't think so
Just added better figures to https://github.com/stan-dev/bayesplot/issues/319 The imputation part requires sampling from a truncated posterior predictive distribution. In many cases rejection sampling is likely to be fast enough, and simplest...
I noticed this open PR with several unresolved conversations. @davkoh ?
For the same case, Hessian works in BridgeStan. What is the difference to CmdStanR?
Thanks. I missed `BRIDGESTAN_AD_HESSIAN=true` and the whole page with "Optional: Customizing BridgeStan" as I installed BridgeStan using the R package.