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Tytuł artykułu

Functional limit theorems in Hölder space for residuals of nearly nonstationary AR(1) process

Wybrane pełne teksty z tego czasopisma
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
We investigate the polygonal line process built on the residuals of the first order nearly nonstationary autoregressive process.We prove functional limit theorems in Hölder space in two cases: the autoregressive coefficient ϕn is defined as eγ/n, γ < 0 is a constant, and ϕn is defined as 1 – γn/n, γn → ∞, and γn/n tends to zero as n → ∞. Also we discuss some applications of these functional limit theorems in epidemic change detection.
Rocznik
Strony
163--183
Opis fizyczny
Bibliogr. 25 poz., tab.
Twórcy
  • Faculty of Mathematics and Informatics, Vilnius University, Naugarduko str. 24, LT-03225 Vilnius, Lithuania
Bibliografia
  • [1] P. J. Avery and A. D. Henderson, Detecting a changed segment in DNA sequences, J. R. Stat. Soc. Ser. C. Appl. Stat. 48 (1999), pp. 489-503.
  • [2] J. Bai, On the partial sums of residuals in autoregressive and moving average models, J. Time Series Anal. 14 (1993), pp. 247-260.
  • [3] P. Billingsley, Convergence of Probability Measures, Wiley, New York 1968.
  • [4] L. Broemeling and H. Tsurumi, Econometrics and Structural Change, Marcel Dekker, New York 1987.
  • [5] D. Commenges, J. Seal, and F. Pinatel, Inference about a change point in experimental neurophysiology, Math. Biosci. 80 (1986), pp. 81-108.
  • [6] L. Giraitis and P. C. B. Phillips, Uniform limit theory for stationary autoregression, J. Time Series Anal. 27 (1) (2006), pp. 51-60.
  • [7] E Gombay, Testing for change-points with rank and sign statistics, Statist. Probab. Lett. 20 (1994), pp. 49-55.
  • [8] L. Horváth, Change in autoregressive process, Stochastic Process. Appl. 44 (1993), pp. 221-242.
  • [9] V. K. Jandhyala and I. B. MacNeil, Iterated partial sum sequences of regression residuals and tests for change points with continuity constraints, J. R. Stat. Soc. Ser. B 59 (1997), pp. 147-156.
  • [10] M. Juodis, A. Račkauskas, and Ch. Suquet, Hölderian functional central limit theorems for linear processes, ALEA Lat. Am. J. Probab. Math. Stat. 5 (2009), pp. 47-64.
  • [11] R. J. Kulperger, On the residuals of autoregressive processes and polynomial regression, Stochastic Process. Appl. 21 (1) (1985), pp. 107-118.
  • [12] R. J. Kulperger and H. Yu, High moment partial sum processes of residuals in GARCH models and their applications, Ann. Statist. 33 (2005), pp. 2395-2422.
  • [13] B. Levin and J. Kline, The CUSUM test of homogeneity with an application in spontaneous abortion epidemiology, Stat. Med. 4 (1985), pp. 469-488.
  • [14] J. Markevičiūtė, A. Račkauskas, and Ch. Suquet, Functional limit theorems for sums of nearly nonstationary processes, Lith. Math. J. 52 (3) (2012), pp. 282-296.
  • [15] J. Markevičiūtė, A. Račkauskas, and Ch. Suquet, Testing the epidemic change in nearly nonstationary autoregressive processes, Nonlinear Anal. Model. Control 19 (1) (2014), pp. 67-82.
  • [16] J. Markevičiūtė, A. Račkauskas, and Ch. Suquet, Testing epidemic change in nearly nonstationary process with statistics based on residuals, Statist. Papers, doi: 10.1007/s00362-015-0712-0, 2015.
  • [17] N. Mimoto, Convergence in distribution for the sup-norm of a kernel density estimator for GARCH innovations, Statist. Probab. Lett. 78 (2008), pp. 915-923.
  • [18] P. C. B. Phillips, Towards a unified asymptotic theory for autoregression, Biometrika 74 (3) (1987), pp. 535-547.
  • [19] A. Račkauskas and I Rastenė, Hölder convergence of autoregression residuals partial sum processes, Lith. Math. J. 48 (4) (2008), pp. 438-450.
  • [20] A. Račkauskas and Ch. Suquet, Necessary and sufficient condition for the functional central limit theorem in Hölder spaces, J. Theoret. Probab. 17 (1) (2004), pp. 221-243.
  • [21] A. Račkauskas and Ch. Suquet, Hölder norm test statistics for epidemic change, J. Statist. Plann. Inference 126 (2) (2004), pp. 495-520.
  • [22] X. Shen, Z. Lin, and C. Zhang, Asymptotic distributions of innovation density estimators in linear processes, Comm. Statist. Theory Methods 37 (2008), pp. 2262-2275.
  • [23] D. W. Shin, The limiting distribution of the residual processes in nonstationary autoregressive processes, J. Time Series Anal. 19 (6) (1998), pp. 723-736.
  • [24] Ch. Suquet, Tightness in Schauder decomposable Banach spaces, Amer. Math. Soc. Transl. (2) 193 (1999), pp. 201-224.
  • [25] H. Yu, High moment partial sum processes of residuals in ARMA models and their applications, J. Time Series Anal. 28 (2007), pp. 72-91.
Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-cc7c755e-3d1c-432b-a9ee-af6d6e0bf438
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