Earlier quoted context omitted.
By that measure, all of these Spurious Correlations indicate insignificant dependence, which isn't of utility: https://www.tylervigen.com/spurious-correlations Isn't it possible to contrive an example where a test of pairwise dependence causes the statistician to error by excluding relevant variables from tests of more complex relations? Trying to remember which of these factor both P(A|B) and P(B|A) into the test
I think you're using the word "insignificant" in a possibly misleading or confusing way. I think in this context, the issue with the spurious correlations from that site is that they're all time series for overlapping periods. Of course, the people who collected these understood that time was an important causal factor in all these phenomena. In the graphical language of this post: T --> X_i T --> X_j Since T is a co…
How are effect lag and lead expressed in said notation for expressing causal charts?
Should we always assume that t is a monotonically-increasing series, or is it just how we typically sample observations? Can traditional causal inference describe time crystals?
What is the quantum logical statistical analog of mutual information?
Are there pathological cases where mutual information and quantum information will not discover a relationship?
Does Quantum Mutual Information account for Quantum Discord if it only uses von Neumann definition of entropy?