Stein's method has emerged as a powerful and versatile tool in probability theory for deriving error bounds in distributional approximations. Originally developed to ...
This is a preview. Log in through your library . Abstract The problem of estimating an endpoint of a distribution is revisited, using the bootstrap and random subsample methods. Contrary to an example ...
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