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References

  • Bartlett, M.S. (1946). On the theoretical specification and sampling properties of autocorrelated time series. Supplement to the Journal of the Royal Staistical Society, 8, 2741.
  • Brockwell, P. J. & Davis, R.A. (1991). Time Series: Theory and Methods, 2nd ed. New York: Springer.
  • Cohen, S. & Lindner, A. (2012). A central limit theorem for the sample autocorrelations of a Lévy driven continuous time moving average process with finite fourth moment. J. Statist. Plann. Inference, http://dx.doi.org/10.1016/j.jspi.2013.03.022.
  • Dahlhaus, R. (1985). Asymptotic normality of spectral estimates. J. Multivariate Anal., 16, 412431.
  • Dahlhaus, R. & Janas, D. (1996). A frequency domain bootstrap for ratio statistics in time series analysis. Ann. Statist., 24(5), 19341963.
  • Dunsmuir, W. & Robinson, P.M. (1981a). Estimation of time series models in the presence of missing data. J. Amer. Statist. Assoc., 76(375), 560568.
  • Dunsmuir, W. & Robinson, P.M. (1981b). Parametric estimators for stationary time series with missing observations. Adv. Appl. Probab., 13, 129146, 1981.
  • Francq, C. & Zakoïan, J.-M. (1998). Estimating linear representations of nonlinear processes. J. Statist. Plann. Inference, 68, 145165.
  • Francq, C. & Zakoïan, J.-M. (2008). Bartlett's formula for a general class of nonlinear processes. J. Time Ser. Anal., 30(4), 449465.
  • Kokoszka, P. & Politis, D.N. (2011). Nonlinearity of ARCH and stochastic volatility models and Bartlett's formula. Probab. Math. Statist., 31(1), 300312.
  • Kreiss, J.-P. (1997). Asymptotical properties of residual bootstrap for autoregressions. Technical Report. TU Braunschweig.
  • Kreiss, J.-P. & Franke, J. (1992). Bootstrapping stationary autoregressive moving-average models. J. Time Ser. Anal., 13(4), 297317.
  • Kreiss, J.-P. & Neuhaus, G. (2006). Einführung in die Zeitreihenanalyse. Heidelberg: Springer.
  • Politis, D.N. (1993). On the maximum entropy problem with autocorrelations specified on a lattice. IEEE Transactions on Signal Processing, 41(4), 17151716.
  • Romano, J.P. & Thombs, L. A. (1996). Inference for autocorrelations under weak assumptions. J. Amer. Statist. Assoc., 91(434), 590600.