MMP.7:11 - SoTA-Echoing

Gelman, Vehtari and McElreath, Statistical Workflow (2025), sections 1.1-1.7, emphasize measurement, assumptions, shared information and the distinction between model parameters and inferential targets. Adopt the connection of those decisions to model construction and revision. Their comparison of Bayesian and other workflows supports leaving the inference method explicit; it does not select one estimator for every observation law.

Rubin, Inference and missing data (1976), is a historical foundation for specifying when a missing-data mechanism can be ignored. Adopt the requirement to establish the applicable conditions rather than assuming that absence is harmless. Its qualifications depend on the inferential method. The examples here derive their recording laws directly and require no blanket ignorability claim.

The Stan User’s Guide 2.39 treatment of truncation and censoring provides executable constructions for restricted observations and tail reports. Adapt those probability operations to :4.3 and :5.3. The guide’s programming and inference conventions are useful implementations, not prerequisites of the method. A direct finite calculation or another suitable implementation can supply the same law.

The three demonstrations are elementary constructions for this pattern. They explain the modeling operations under stated assumptions; they are not empirical reports about the activities or devices used as examples.