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Great package!
AFAICS, the package is only providing online algorithms for uncorrelated data (some features can be applied to correlated data as well, of course).
Is there any plan to support correlated data specifically as well? Is this even possible efficiently? (I have little experience with online statistics.)
Concretely, I'd love to see a block bootstrap or block jackknife based confidence interval estimation that considers correlations by pre-binning that data. I guess it's only possible in O(logN) memory though.
Maybe you can share your plans/thoughts on this?
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