Goodness-of-fit tests and nonparametric adaptive estimation for spike train analysis

HIGHLIGHTS

  • who: Patricia Reynaud-Bouret and colleagues from the (UNIVERSITY) have published the paper: Goodness-of-Fit Tests and Nonparametric Adaptive Estimation for Spike Train Analysis, in the Journal: (JOURNAL)
  • what: Whatever the chosen model, this model has to be tested before any other inference based on this model. The aim of this article is to precisely show that the plug-in step may sometimes lead to undesirable effects and to propose the subsampling as a reasonable and quite universal solution. The authors focus here on the Kolmogorov-Smirnov (K.S.) test of uniformity. By using . . .

     

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