Asymptotic equivalence of nonparametric autoregression and nonparametric regression

Mathematics – Statistics Theory

Scientific paper

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Published at http://dx.doi.org/10.1214/009053606000000560 in the Annals of Statistics (http://www.imstat.org/aos/) by the Inst

Scientific paper

10.1214/009053606000000560

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.

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