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MMP.7:3 - Forces

ChoiceWhat changes in the inference
Target population and included casesA result about reported cases may require a selection model before it describes the target population.
Retain or remove unobserved quantitiesKeeping them can clarify construction; summing or integrating them out can simplify computation.
Separate and shared influencesConditional independence can hold while observations remain dependent after a shared influence is removed.
Rich observation model and obtainable informationExtra parameters can represent real effects while leaving the desired answer less identifiable.
Probabilistic answer and sufficient conditional answerA likelihood can be useful before choosing an estimator or a prior. A bound may already settle the action.