Statistical Test of Adaptation for Prediction Algorithms of Scanning Probe Microscopy
The work deals with the use of adaptive prediction models in scanning probe microscopy. In particular, issues were observed related to changes in the distribution of the forecast error in the adaptation model. It is shown that the optimal model will give the distribution of the forecasting error by the law of Laplace.