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Bootstrap for error estimation? #5

@jakevdp

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@jakevdp

A few of us were chatting at pyastro16 about model errors: it might be useful to add-in the ability to do a bootstrap estimate of model errors. The idea is to do resample the data with replacement, fit the model, and then use the resulting distribution as an estimate of the uncertainty. I made a simple example of the approach here.

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