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Bootstrap Methods: Another Look at the Jackknife

David Hinkley
- pp 178-206
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The article was published on 2008-01-01. It has received 6615 citations till now. The article focuses on the topics: Jackknife resampling.

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Journal ArticleDOI

A Bayesian interpretation of the confusion matrix

TL;DR: A way to infer distributions of any performance indicator computed from the confusion matrix, based on a Bayesian approach in which the unknown parameters of the multinomial probability function themselves are assumed to be generated from a random vector.

Bayesian Estimation of the Spatially Varying Completeness Magnitude of Earthquake Catalogs

TL;DR: In this paper, the authors employ a simple model to compute the completeness magnitude of earthquake catalogs, based on a two-step procedure: (1) a spatial resolution optimization to minimize spatial heterogeneities and uncertainties in Mc estimates and (2) a Bayesian approach that merges prior information about Mc based on the proximity to seismic stations with locally observed values weighted by their respective uncertainties.
Journal ArticleDOI

A multiphysical ensemble system of numerical snow modelling

TL;DR: The ESCROC system as discussed by the authors integrates numerical snow-modeling errors in ensemble forecasting and ensemble assimilation systems in support of avalanche hazard forecasting and other snowpack-modelling applications, and it is shown that optimal members of the ESC-OC system are able to explain more than half of the total simulation errors.
Journal ArticleDOI

Seminal vesicle invasion in prostate cancer: evaluation by using multiparametric endorectal MR imaging.

TL;DR: Additional review of DW MR images improves specificity and positive predictive value in SVI detection compared with reviewing T2-weighted images alone, but addition of DCE MR images to this combination does not provide incremental value for diagnosis of SVI.
Journal ArticleDOI

Correlation coefficients in medical research: from product moment correlation to the odds ratio

TL;DR: Suggestions are made for the future use of measures of association in research to facilitate considerations of clinical significance, emphasizing distribution-free effect sizes such as the Spearman correlation coefficient and Kendall’s coefficient of concordance for ordinal versus ordinal associations.