… In fact, the theory presented in this chapter will later be extended to cases like this where
the rate of convergence is unknown, and subsampling offers a viable and general approach to …

… aforementioned extrapolation of subsampling distribution estimators… on the iid case and show
that since in this case subsampling … Then extrapolation of subsampling distributions for the …

… we show how these subsample values can accurately es … subsampling in the iid case,
ack choice of block size, which inevitably is the situation u argument is to show subsampling …

… because the subsample thus obtained is an iid sample from a … case-control subsampling
In this section, we describe local case-control subsampling, a generalization of standard case-…

… In this article, asymptotic inference for the mean of iid observations in the context of heavy-tailed
distributions is discussed. While both the standard asymptotic method based on the …

… with the independent and identically distributed (iid) case in Section 2, because we allow πN
(x,y;… The MSCLE includes the local case-control subsampling as a special case, so we can …

… In the case of iid data, subsampling may be seen as a delete-d (with d = ti - … However, in
that case we necessarily need more than two subsampling distributions to estimate the slowly …

… In the sample mean case ,~ can be taken as 0.5(1 - 1/v/5… subsample confidence interval,
with coverage probability (t -2a) under the iid, setting (ie one obtained by assuming that Xi are iid…

… In Section 3, we address the case where model parameters are unknown and thoroughly …
algorithm to implement the optimal subsampling procedure under iid setting in Section 3.1, and …

… -case risk over all distributions close to the empirical distribution. The experiment results
demonstrate our methods superiority over existed subsampling … test samples are iid drawn from …