高维随机场的预期行为：Bansal 和 Peterson [ ] 的结果存在矛盾。
The expected behaviour of random fields in high dimensions: contradictions in the results of Bansal and Peterson [].
机构信息
Department of Statistics, University of Oxford, Oxford OX1 3LB, UK.
Oxford Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK; Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford OX3 9DU, UK; Department of Statistics, University of Warwick, Coventry CV4 7AL, UK.
出版信息
Magn Reson Imaging. 2022 Jul;90:70-75. doi: 10.1016/j.mri.2021.11.010. Epub 2022 Feb 1.
Bansal and Peterson (2018) found that in simple stationary Gaussian simulations Random Field Theory incorrectly estimates the number of clusters of a Gaussian field that lie above a threshold. Their results contradict the existing literature and appear to have arisen due to errors in their code. Using reproducible code we demonstrate that in their simulations Random Field Theory correctly predicts the expected number of clusters and therefore that many of their results are invalid.
班萨尔和彼得森（2018 年）发现，在简单的静态高斯模拟中，随机域理论错误地估计了位于阈值以上的高斯场的聚类数量。他们的结果与现有文献相矛盾，似乎是由于他们的代码错误造成的。我们使用可重现的代码证明，在他们的模拟中，随机域理论正确地预测了预期的聚类数量，因此他们的许多结果是无效的。
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