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pr.likelihood – Is the clique of likelihood measures on $mathbb{R}$ completely steady with bounded density a closed subset? retort

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pr.likelihood – Is the clique of likelihood measures on $mathbb{R}$ completely steady with bounded density a closed subset?

Clarification: Here $mu$ being completely steady means being completely steady with respect to the Lebesgue touchstone $dx$: $mu(A)=int_A fdx$ for some $f$ for all Lebesgue measurable $A$. Having bounded density means the density capabilities of those likelihood measures are uniformly bounded by a ceaseless. too, closed means closed underneath feeble topology on the area of likelihood measures of $mathbb{R}$, $mu_n$ converge to $mu$ if and provided that $int_mathbb{R} fdmu_ntoint_mathbb{R} fdmu$ for all bounded steady $f$.

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