Asymptotic properties of $L_p$-estimators
Teoriâ slučajnyh processov, Tome 14 (2008) no. 1, pp. 60-68

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Some sufficient conditions for consistency and asymptotic normality of a non-linear regression parameter $L_p$-estimator are presented for a continuous time regression model with Gaussian stationary noise possessing the long-range dependence or weak dependence property.
Keywords: $L_p$-estimator, regression model.
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     author = {Alexander V. Ivanov},
     title = {Asymptotic properties of $L_p$-estimators},
     journal = {Teori\^a slu\v{c}ajnyh processov},
     pages = {60--68},
     publisher = {mathdoc},
     volume = {14},
     number = {1},
     year = {2008},
     language = {en},
     url = {http://geodesic.mathdoc.fr/item/THSP_2008_14_1_a6/}
}
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Alexander V. Ivanov. Asymptotic properties of $L_p$-estimators. Teoriâ slučajnyh processov, Tome 14 (2008) no. 1, pp. 60-68. http://geodesic.mathdoc.fr/item/THSP_2008_14_1_a6/