Are you sure? A Comprehensive and Comprehensible Survey of Uncertainty Quantification in Symbolic Regression

Symbolic regression (SR) explores mathematical functions to capture relationships in datasets, but its adoption is limited by a lack of uncertainty quantification (UQ). This survey is the first to address UQ in SR, reviewing current literature across frequentist, Bayesian, and model selection approaches.