The Cramér-Rao bound for estimation-after-selection

Abstract

In many practical parameter estimation problems, a model selection is made prior to estimation. In this paper, we consider the problem of estimating an unknown parameter of a selected population, where the population is chosen from a population set by using a predetermined selection rule. Since the selection step may have an important impact on subsequent… (More)
DOI: 10.1109/ICASSP.2014.6853629

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Cite this paper

@inproceedings{Routtenberg2014TheCB, title={The Cram{\'e}r-Rao bound for estimation-after-selection}, author={Tirza Routtenberg and Lang Tong}, booktitle={ICASSP}, year={2014} }