Premise In the real world, start modeling from some data+uncertainty is much better than using just data (uncertainty free). When the inference has been done by third parties (or joint modelling is not possible or really impractical). I really enjoyed the post https://statmodeling.stat.columbia.…

I am far from expert on this, but my gut instinct would be that the proposed method (optimize a second model for each posterior sample of a first model) to be usually somewhat better than just fitting something like the second model directly and sometimes possibly better than just fitting something …

When it's necessary: doing model cutting right. How?- reference to statmodeling post

Modeling

martinmodrak Split this topic November 12, 2020, 10:36am 3

A post was split to a new topic: Implementing model cuts in Stan

Topic		Replies	Views
Implementing model cuts in Stan Modeling rstan	21	1259	December 8, 2020
Use posterior predictive distribution in another model Modeling	5	1425	March 25, 2023
Use parameter output in the first model as an input in the next stan model General rstan	13	1735	May 18, 2021
Using posteriors as new priors Modeling	5	3016	January 22, 2020
Restrict estimation of some parameters to a subset of the moments equations Modeling techniques	1	80	August 21, 2025

When it's necessary: doing model cutting right. How?- reference to statmodeling post

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