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Find and fill values for the missing points using close/similar vectors
I have a matrix which looks like the attached image below, and I would like to know what's the statistically best educated guess for the missing steps (filled in orange) for the vector $\mathbf N$.
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3
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Is there a (parametric) distribution over sparse symmetric, binary matrix-valued random variables?
The title says it all, really. I'm aware of the Wishart distribution for symmetric, nonnegative-definite matrix-valued random variables, and am looking for something along these lines, but for sparse ...
