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From: Dan H. <dan...@ph...> - 2022-01-12 10:17:02
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On Mon, 20 Nov 2017, Daniel Hatton via gnuplot-info wrote (among other things): > - As long as the prior probability density over parameter space, > evaluated at the point (L,M) = (l,m), is non-zero, the leading-order > Laplace's method approximation to the standard deviation of the > posterior probability distribution for L, marginalized over M, is > √(2/((∂(χ)/∂L)ₗ¸ₘ-((∂(χ)/(∂L∂M))ₗ¸ₘ)/(∂(χ)/∂M)ₗ¸ₘ)). > - As long as the prior probability density over parameter space, > evaluated at the point (L,M) = (l,m), is non-zero, the leading-order > Laplace's method approximation to the standard deviation of the > posterior probability distribution for M, marginalized over L, is > √(2/((∂(χ)/∂M)ₗ¸ₘ-((∂(χ)/(∂L∂M))ₗ¸ₘ)/(∂(χ)/∂L)ₗ¸ₘ)). ... > I have a sneaking suspicion that the person who wrote the phrase > "asymptotic standard error", both in the Gnuplot manual and in the > comments of file <src/fit.c>, in the Gnuplot source code tree, _has_ > seen those two statements or something very like them in a published > source. If that person is on this mailing list, it'd be great if > s/he could provide a reference, please. I don't know how the gnuplot-info web archive will handle threading across a four-year gap, but I finally found a reference for those things: Tierney et al. (1989), _J. Am. Stat. Assoc._ *84*(407):710-716, doi:10.1080/01621459.1989.10478824. |