Asymptotic equivalence of nonparametric autoregression and nonparametric regression

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Abstract

It is proved that nonparametric autoregression is asymptotically equivalent in the sense of Le Cam's deficiency distance to nonparametric regression with random design as well as with regular nonrandom design. © Institute of Mathematical Statistics, 2006.

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Grama, I. G., & Neumann, M. H. (2006). Asymptotic equivalence of nonparametric autoregression and nonparametric regression. Annals of Statistics, 34(4), 1701–1732. https://doi.org/10.1214/009053606000000560

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