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The results depend not only on the weight function, but also on its parameters.
w 1 x, y) is also a non-local weight function, but it is computed by the transmission in the similar window, yielding: w 1 x, y = exp - G ∗ | t x + · - t y + · | 2 ( 0 a 1 2 (20).
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To obtain the correct relative width of the PDSF, we used t = 75ps in the calculated weight functions above, but we emphasize that we do not place physical significance in the this time gate except that it yields results that heuristically agree with experimental data.
We observe that the condition (h0) holds, for example, if Ω is an unbounded open set with the cone property, or if the open set Ω has not the cone property but the weight function ρ is equivalent to the function dist (see [6]).
The maximum likelihood approach outlined in the Methods section does not only yield estimates for the weight function parameters describing selection bias, but can also yield estimates for the association strength (log odds ratios) and between-study variances of each marker with AD after correcting for the selection pattern.
Weight function.
Universal weight function.
Parameters of weight function.
Given a weight function w.
Fig. 4 Weight function performance.
(b) Scaled and truncated weight function.
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