Resumen de Comments on: Nonparametric inference with generalized likelihood ratio tests IV

John Lafferty, Larry Wasserman

• We discuss the issues raised by Fan and Jiang in the context of high dimensional models and argue that fitting sparse nonparametric models might be preferable to hypothesis testing.