<p>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: <a href="https://stats.stackexchange.com/questions/111756/the-meaning-of-positive-dependency-as-a-condition-to-use-the-usual-method-for">The meaning of &quot;positive dependency&quot; as a condition to use the usual method for FDR control</a>. There has even been a bounty placed and awarded on this question.</p>

<p>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—<strong>does not actually answer the question…</strong> a point made abundantly clear in the comments following the answer, and also by the answer's lack of acceptance by the OP.</p>

<p>I have a feeling this kind of situation may not be unique.</p>

<p><strong>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?</strong></p>

<p><strong>References</strong></p>

<p>Benjamini, Y. and Yekutieli, D. (2001). <a href="https://projecteuclid.org/euclid.aos/1013699998" rel="nofollow noreferrer">The control of the false discovery rate in multiple testing under dependency</a>. <em>Annals of Statistics</em>, 29(4):1165–1188.</p>
