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Jul 28, 2022 at 15:00 history tweeted twitter.com/StackStats/status/1552670223181963264
Jun 25, 2015 at 8:24 history edited Torvon CC BY-SA 3.0
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Jun 24, 2015 at 21:11 history edited Torvon CC BY-SA 3.0
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Jun 24, 2015 at 21:05 history edited Torvon CC BY-SA 3.0
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Jun 24, 2015 at 20:59 comment added whuber That's quite a different description of the problem! Please edit your post so that readers understand what you're looking for.
Jun 24, 2015 at 20:57 comment added Torvon Thank you. In a minor analysis of a paper, we want to establish whether the 6 networks estimated via Ising Models differ (same variables, but different samples). This is extremely demanding and worth at least a PhD project, so not feasible for this paper. So we look for simpler ways. One idea we had was determine the variability of each edge across the 6 networks, and if this variability is substantial, that provides some information. I could bootstrap confidence interval around each edge in each network. That would provide information about error. Would that help?
Jun 24, 2015 at 16:04 comment added whuber Assuming no measurement error, if the observed variance is nonzero, then it is significantly above zero (at any possible level of significance), because it definitively establishes the variance is nonzero. If there is a possibility of measurement error, then what quantitative information can you provide about its variance? This is such a strange situation that it makes one wonder whether you are asking the question you need to. Could you clarify what you really mean by "significant variability across the ... networks in [an] edge"?
Jun 24, 2015 at 15:57 history edited Torvon CC BY-SA 3.0
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Jun 24, 2015 at 15:56 answer added Mohamed Baddar timeline score: -3
Jun 24, 2015 at 15:56 history edited Torvon CC BY-SA 3.0
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Jun 24, 2015 at 15:46 history asked Torvon CC BY-SA 3.0