On the consistency of sieve bootstrap prediction intervals for stationary time series

Roman Różański; Adam Zagdański

Discussiones Mathematicae Probability and Statistics (2004)

  • Volume: 24, Issue: 1, page 5-40
  • ISSN: 1509-9423

Abstract

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In the article, we consider construction of prediction intervals for stationary time series using Bühlmann's [8], [9] sieve bootstrapapproach. Basic theoretical properties concerning consistency are proved. We extend the results obtained earlier by Stine [21], Masarotto and Grigoletto [13] for an autoregressive time series of finite order to the rich class of linear and invertible stationary models. Finite sample performance of the constructed intervals is investigated by computer simulations.

How to cite

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Roman Różański, and Adam Zagdański. "On the consistency of sieve bootstrap prediction intervals for stationary time series." Discussiones Mathematicae Probability and Statistics 24.1 (2004): 5-40. <http://eudml.org/doc/287725>.

@article{RomanRóżański2004,
abstract = {In the article, we consider construction of prediction intervals for stationary time series using Bühlmann's [8], [9] sieve bootstrapapproach. Basic theoretical properties concerning consistency are proved. We extend the results obtained earlier by Stine [21], Masarotto and Grigoletto [13] for an autoregressive time series of finite order to the rich class of linear and invertible stationary models. Finite sample performance of the constructed intervals is investigated by computer simulations.},
author = {Roman Różański, Adam Zagdański},
journal = {Discussiones Mathematicae Probability and Statistics},
keywords = {prediction intervals; sieve bootstrap; method of sieves},
language = {eng},
number = {1},
pages = {5-40},
title = {On the consistency of sieve bootstrap prediction intervals for stationary time series},
url = {http://eudml.org/doc/287725},
volume = {24},
year = {2004},
}

TY - JOUR
AU - Roman Różański
AU - Adam Zagdański
TI - On the consistency of sieve bootstrap prediction intervals for stationary time series
JO - Discussiones Mathematicae Probability and Statistics
PY - 2004
VL - 24
IS - 1
SP - 5
EP - 40
AB - In the article, we consider construction of prediction intervals for stationary time series using Bühlmann's [8], [9] sieve bootstrapapproach. Basic theoretical properties concerning consistency are proved. We extend the results obtained earlier by Stine [21], Masarotto and Grigoletto [13] for an autoregressive time series of finite order to the rich class of linear and invertible stationary models. Finite sample performance of the constructed intervals is investigated by computer simulations.
LA - eng
KW - prediction intervals; sieve bootstrap; method of sieves
UR - http://eudml.org/doc/287725
ER -

References

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  1. [1] A.M. Alonso, D. Peña and J. Romo, Introducing model uncertainty in time series bootstrap, Working Paper, Statistics and Econometric Series, Universidad Carlos III de Madrid 9 (2001), 1-14. 
  2. [2] A.M. Alonso, D. Peña and J. Romo, Forecasting time series with sieve bootstrap, Journal of Statistical Planning and Inference, 100 (2002), 1-11. Zbl1007.62077
  3. [3] T. Anderson, The Statistical Analysis of Time Series, Wiley, New York 1971. Zbl0225.62108
  4. [4] Y.K. Belyaev, The continuity theorem and its application to resampling from sums of random variables, Theory of Stochastic Processes 3 (19) (1997), 100-109. Zbl0946.60016
  5. [5] Y.K. Belyaev and S. Sjöstedt - de Luna, Weakly approaching sequences of random distributions, Journal of Applied Probability 37 (2000), 807-822. Zbl0976.60009
  6. [6] P. Brockwell and R. Davis, Time Series Theory and Method, Springer-Verlag 1987. Zbl0604.62083
  7. [7] P. Bühlmann, Moving-average representation of autoregressive approximations, Stochastic Processes and their Applications 60 (1995), 331-342. Zbl0847.60027
  8. [8] P. Bühlmann, Sieve bootstrap for time series, Bernouli 3 (2) (1997), 123-148. Zbl0874.62102
  9. [9] P. Bühlmann, Sieve bootstrap for smoothing in nonstationary time series, The Annals of Statistics 26 (1) (1998), 48-83. Zbl0934.62039
  10. [10] P. Bühlmann, Bootstraps for Time Series, Statistical Science 17 (1) (2002), 52-72. Zbl1013.62048
  11. [11] R. Cao, et al, Saving Computer time in constructing consistent bootstrap prediction intervals for autoregressive processes, Comm. Statist. Simulation Comput. 26 (3) (1997), 961-978. Zbl0925.62395
  12. [12] M. Deistler and E.J. Hannan, The Statistical Theory of Linear Systems, Wiley, New York 1988. Zbl0641.93002
  13. [13] M. Grigoletto, Bootstrap prediction intervals for autoregressions: some alternatives, International Journal of Forecasting 14 (1998), 447-456. 
  14. [14] U. Grenander, Abstract Inference, Wiley, New York 1981. 
  15. [15] E.J. Hannan and L. Kavalieris, Regressions, autoregression models, Journal Time Series Analysis 7 (1986), 27-49. Zbl0588.62163
  16. [16] J.H. Kim, Bootstrap-after-bootstrap prediction intervals for autoregressive models, Journal of Business & Economic Statistics 19 (1) (2001), 117-128. 
  17. [17] G. Masarotto, Bootstrap prediction intervals for autoregressions, International Journal of Forecasting 6 (1990), 229-239. 
  18. [18] A.M. Polansky, Stabilizing bootstrap-t confidence intervals for small samples, The Canadian Journal of Statistics 28 (3) (2000), 501-516. Zbl0961.62035
  19. [19] D.N. Politis, J.P. Romano and M. Wolf, Subsampling, Springer-Verlag, New York 1999. 
  20. [20] J. Shao and D. Tu, The Jacknife and Bootstrap, Springer-Verlag, New York 1995. 
  21. [21] R.A. Stine, Estimating properties of autoregressive forecast, Journal of the American Statistical Association 82 (400) (1987), 1073-1078. 
  22. [22] L.A. Thombs and R. Schucany, Bootstrap prediction intervals for autoregression, Journal of the American Statistical Association 85 (410) (1990), 486-492. Zbl0705.62089

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