Statistical Modeling

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3 domain-specific abstractions whose origin domain is Statistical Modeling.

• Hidden Markov model — Model an observed sequence as emissions from an unobserved Markov state process, separating state transition dynamics from state-conditioned observation distributions.
• Interaction (statistics) — A model relation in which the association or effect of one predictor on an outcome changes with the level of another predictor.
• Principle of marginality — The modeling principle that an interaction term should ordinarily be accompanied by its constituent lower-order main effects, whose meanings are marginal across the interacting variable.