Second Maximum of a Gaussian Random Field and Exact (t-)Spacing test
The paper introduces a new statistic called the second maximum for Gaussian random fields on curved spaces. It derives an exact test based on the spacing between these two maxima, known as the spacing test. This method allows researchers to detect sparse alternatives in various complex models, including neural networks and tensor problems, providing an exact inference tool without needing asymptotic approximations.