I am very interested in a straightforward definition of the concept "positive regression dependency on each one of a subset" (with straightforward example a plus) as described by Benjamini and Yekutieli. Harvey Motulsky seems to share my interest: The meaning of "positive dependency" as a condition to use the usual method for FDR control. There has even been a bounty placed and awarded on this question.
However, none of the answers actually clarifies this this concept in plain language (although one answer with a single upvote does simply quote from Benjamini and Hochberg). The most voted on answer—which won a bounty for the question—does not actually answer the question… a point made abundantly clear in the comments following the answer, and also by the answer's lack of acceptance by the OP.
I have a feeling this kind of situation may not be unique.
Is there a way I can offer a bounty to encourage a solid answer, without it simply being awarded to a much up-voted yet poor answer?
Benjamini, Y. and Yekutieli, D. (2001). The control of the false discovery rate in multiple testing under dependency. Annals of Statistics, 29(4):1165–1188.