Detecting relevant changes in the spatiotemporal mean function
针对时空过程均值函数的变化检测问题，提出不依赖长期协方差结构估计的渐近分布自由检验方法，仅关注超过给定阈值的显著变化，并通过模拟研究验证有限样本性质。
For a spatiotemporal process , where denotes the set of spatial locations and the time domain, we consider the problem of testing for a change in the sequence of mean functions . In contrast to most of the literature, we are not interested in arbitrarily small changes but only in changes with a norm exceeding a given threshold. Asymptotically distribution free tests are proposed, which do not require the estimation of the long‐run spatiotemporal covariance structure. In particular, we consider a fully functional approach and a test based on the cumulative sum paradigm, investigate the large sample properties of the corresponding test statistics and study their finite sample properties by means of simulation study.