Permutation Methods: A Basis for Exact Inference

By M. Ernst. 2004

808 citations recorded by the source corpus.

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In Artificial Intelligence

Citations in the corpus

Nonparametric statistical testing of EEG- and MEG-data. (2007, methodology): “The permutation and the randomization test have a different rationale (Ernst, 2004), but in practice they often involve the same calculations.”
Mere Renovation is Too Little Too Late: We Need to Rethink our Undergraduate Curriculum from the Ground Up (2015, background): “Its family tree goes back to the 1930s (through Noether 1971; Mosteller and Rourke 1973; Nemenyi and Dixon 1977; Ernst 2004, all the way back to Fisher 1936; Pitman 1937.)”
Preliminary Goodness-of-Fit Tests for Normality do not Validate the One-Sample Student t (2006, methodology): “For both of these, one might consider using the Wilcoxon signed-rank or a permutation distribution (Ernst, 2004) either (i) on the rejected samples or (ii) on all samples from the outset.”
Comparing network structures on three aspects: A permutation test. (2022, background): “Although there are no strict rules, a few thousand iterations are claimed to be sufficient usually (Ernst, 2004).”
Permutation inference for the general linear model (2014, background): “This includes regression coef-ﬁ cients or descriptive statistics, such as differences between medians, trimmed means or ranks of observations (Ernst, 2004).”
HERMES: Towards an Integrated Toolbox to Characterize Functional and Effective Brain Connectivity (2013, methodology): “The exceedance mass of the largest cluster of each of these random realizations is computed, to be subsequently used as cluster-level statistic in the permutation test (see Ernst (2004) for a review of the permutation test rationale).”
The impact of a view from a window on thermal comfort, emotion, and cognitive performance (2020, neutral): “, parametric assumptions and given distribution) [85].”
Discovering Unwarranted Associations in Data-Driven Applications with the FairTest Testing Toolkit (2015, methodology): “2; for small samples, we use generic permutation tests [15] and bootstraps [13] instead of approximations.”
REASONING ABOUT INFORMAL STATISTICAL INFERENCE: ONE STATISTICIAN’S VIEW (2008, background): “Scheaffer and Tabor (2008) include such an example, as do Ernst (2004) and Cobb (2007).”
The WTO trade effect (2011, background): “Formore on permutation (or randomization) tests in general, see Hollander andWolfe (1999), Pesarin (2001), Ernst (2004), and Lehmann and Romano (2005), among others.”
Specification Curve: Descriptive and Inferential Statistics on All Reasonable Specifications (2015, neutral): “The only assumption behind this test is exchangeability (Ernst, 2004; Pesarin & Salmaso, 2010), that any hurricane could have received any name (see footnote 4).”