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Compressed sensing

Suppose x is an unknown vector in Ropfm (a digital image or signal); we plan to measure n general linear functionals of x and then reconstruct. If x is known to be compressible ...

2004 17126 citations

Bootstrap Methods: Another Look at the Jackknife

We discuss the following problem: given a random sample $\\mathbf{X} = (X_1, X_2, \\cdots, X_n)$ from an unknown probability distribution $F$, estimate the sampling distribution...

1979 The Annals of Statistics 16966 citations