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JOURNALS // Theory of Stochastic Processes // Archive

Theory Stoch. Process., 2017 Volume 22(38), Issue 2, Pages 19–33 (Mi thsp177)

Gaussian approximation for residuals of stationary autoregressive process in Hölder norm

K. Imeçaoudene, D. Hamadouche

Laboratory of Mathematics, Faculty of Sciences, University Mouloud Mammeri, Tizi-Ouzou, Algeria

Abstract: The paper treats the hölderian approximation for partial sums process of stationary autoregressive residuals (AR(p), $p \geq 1$). We consider the polygonal smoothed process of these partial sums and we prove the Hölder convergence of this sequence of processes to the Brownian motion for any order $\alpha<\frac{1}{2}$. A statistical application of this convergence to detect epidemic change and simulation results are also presented.

Keywords: Autoregressive model, Brownian motion, Hölder space, invariance principle, partial sums process, residuals.

MSC: 60B10, 60F05, 60G30

Language: English



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