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Public repository for my paper on bootstrapping out-of-sample statistics
Right now the asymptotic arguments implicitly assume that l/P converges to zero. I don't think that's necessary, so I should relax it.
The Monte Carlo simulations are limited for a few reasons.
So I need to start thinking about how to make progress on that.
Results in the main branches.
Add a separate public branch for the intermediate but costly build artifacts.
I'm creating this issue to 'collect' the many small edits I expect to make.
Too curt
Basic steps:
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Some thing interesting about visualization, use data art
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Open source projects and samples from Microsoft.
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Data-Driven Documents codes.
China tencent open source team.