Redefining the likelihood on the model family M rather than the parameter space causes the strong likelihood principle to collapse into the weak likelihood principle.
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2 Pith papers cite this work. Polarity classification is still indexing.
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The support function of the identified set for solutions to conditional linear programs is expressed as an average of intersections of regression functions and shown to be a regular parameter admitting standard asymptotic inference.
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Strong Likelihood Principle: Strengthening a Principle or Misunderstanding the Likelihood Function
Redefining the likelihood on the model family M rather than the parameter space causes the strong likelihood principle to collapse into the weak likelihood principle.
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Adaptive Estimation of Aggregated Values of Conditional Linear Programs
The support function of the identified set for solutions to conditional linear programs is expressed as an average of intersections of regression functions and shown to be a regular parameter admitting standard asymptotic inference.