On the Robustness of Kernel Goodness-of-Fit Tests

Xing Liu, François-Xavier Briol

Goodness-of-fit testing is often criticized for its lack of practical relevance: since ``all models are wrong'', the null hypothesis that the data conform to our model is ultimatel…