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Asymptotic behaviour of M‐estimators in AR(p) models under nonstandard conditions
Authors:Faouzi El Bantli  Marc Hallin
Abstract:The authors derive the limiting distribution of M‐estimators in AR(p) models under nonstandard conditions, allowing for discontinuities in score and density functions. Unlike usual regularity assumptions, these conditions are satisfied in the context of L1‐estimation and autoregression quantiles. The asymptotic distributions of the resulting estimators, however, are not generally Gaussian. Moreover, their bootstrap approximations are consistent along very specific sequences of bootstrap sample sizes only.
Keywords:Autoregressive model  autoregression quantiles  bootstrap  limiting distribution  M‐estimators
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