Topical collection on “goodness-of-fit, change-point and related problems”

Since the seminal works by Pearson, who coined the term "goodness-of-fit", at the beginning of the twentieth century to refer to the problem of fitting a distribution to a set of observations, much effort has been made in the statistical methodology with the objective of developing different goodness-of-fit techniques.Firstly, for distributions and densities, and more recently, in the last 30 years, for more complex regression models with related aspects, as the change-point analysis, in one context of massive data or high-dimensional data.This topical collection, published in the TEST website, is devoted to the mentioned topics corresponding to the title of this document and contains a selection of papers presented at the 5th Workshop on Goodness-Of-Fit, Change-Point and Related Problems (GOFCP2022) celebrated in Rennes (France), 2-4