author keywords: Fisheries footprint; Functional linear concurrent regression; Variable selection

TL;DR: Through simulations, it is illustrated that the variable‐selection method developed can pick out the relevant variables with high accuracy and has minuscule false positive and false negative rate even when data are observed sparsely, are contaminated with noise and the error process is highly non‐stationary. (via Semantic Scholar)