Extensions Of The Concept Of Exchangeability And Their Applications

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Complex Dependencies in the Alliance Network (2012, methodology): “We use an extension of the ERGM developed by Hanneke and Xing (2007), Hanneke et al. (2010), and Desmarais and Cranmer (2012) called the Temporal ERGM (TERGM), which allows the ERGM to analyze longitudinally observed networks.”
Permutation inference for the general linear model (2014, background): “With respect to non-independent measurements, these are addressed by means of treating the observations as weakly exchange-able (Good, 2002), that is, allowing only the permutations that respect the covariance structure of the data and maintain its joint distribution intact.”
Report Human Perceptual Learning by Mental Imagery (2009, methodology): “To determine whether pretraining performance was significantly different from posttraining performance, we conducted nonparametric permutation tests [36, 37].”
Perceptual learning and roving: Stimulus types and overlapping neural populations. (2009, unknown): “Thus, the traditional t-tests were replaced by permutation tests which do not require any assumptions about the probability distributions of the data (Good, 2002; Moore & McCabe, 2005).”