Semibinomial conditionally nonlinear autoregressive models of discrete random sequences: probabilistic properties and statistical parameter estimation
Diskretnaya Matematika, Tome 31 (2019) no. 1, pp. 72-98
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We introduce a new model $\mathscr{P}\text{-}\mathrm{CNAR}(s)$ of sequences of discrete random variables with long memory determined by semibinomial conditionally nonlinear autoregression of order $s\in\N$ with small number of parameters. Probabilistic properties of this model are studied. For parameters of the model $\mathscr{P}\text{-}\mathrm{CNAR}(s)$ a family of consistent asymptotically normal statistical FB-estimates is suggested and the existence of an efficient FB-estimate is proved. Computational advantages of FB-estimate w.r.t. maximum likelihood estimate are shown: less restrictive sufficient conditions for uniqueness, explicit form of FB-estimate, fast recursive computation algorithm under extension of the model $\mathscr{P}\text{-}\mathrm{CNAR}(s)$. Subfamily of “sparse” FB-estimates that use some subset of frequencies of $s$-tuples is constructed, the asymptotic variance minimization problem within this subfamily is solved.
Keywords:
sequence of discrete random variables, parsimonious model, long memory, efficient estimate, exponential family.
@article{DM_2019_31_1_a4,
author = {V. A. Voloshko and Yu. S. Kharin},
title = {Semibinomial conditionally nonlinear autoregressive models of discrete random sequences: probabilistic properties and statistical parameter estimation},
journal = {Diskretnaya Matematika},
pages = {72--98},
publisher = {mathdoc},
volume = {31},
number = {1},
year = {2019},
language = {ru},
url = {http://geodesic.mathdoc.fr/item/DM_2019_31_1_a4/}
}
TY - JOUR AU - V. A. Voloshko AU - Yu. S. Kharin TI - Semibinomial conditionally nonlinear autoregressive models of discrete random sequences: probabilistic properties and statistical parameter estimation JO - Diskretnaya Matematika PY - 2019 SP - 72 EP - 98 VL - 31 IS - 1 PB - mathdoc UR - http://geodesic.mathdoc.fr/item/DM_2019_31_1_a4/ LA - ru ID - DM_2019_31_1_a4 ER -
%0 Journal Article %A V. A. Voloshko %A Yu. S. Kharin %T Semibinomial conditionally nonlinear autoregressive models of discrete random sequences: probabilistic properties and statistical parameter estimation %J Diskretnaya Matematika %D 2019 %P 72-98 %V 31 %N 1 %I mathdoc %U http://geodesic.mathdoc.fr/item/DM_2019_31_1_a4/ %G ru %F DM_2019_31_1_a4
V. A. Voloshko; Yu. S. Kharin. Semibinomial conditionally nonlinear autoregressive models of discrete random sequences: probabilistic properties and statistical parameter estimation. Diskretnaya Matematika, Tome 31 (2019) no. 1, pp. 72-98. http://geodesic.mathdoc.fr/item/DM_2019_31_1_a4/