Free Access
Volume 627, July 2019
Article Number A120
Number of page(s) 11
Section Numerical methods and codes
Published online 12 July 2019
  1. Alder, B., & Wainwright, T. 1970, Phys. Rev. A, 1, 18 [NASA ADS] [CrossRef] [Google Scholar]
  2. Alperovich, Y., Alperovich, M., & Spiro, A. 2017, Tenth International Conference Management of Large-Scale System Development (MLSD), 1 [Google Scholar]
  3. Ausloos, M., & Ivanova, K. 2001, Phys. Rev. E, 63, 047201 [NASA ADS] [CrossRef] [Google Scholar]
  4. Bondon, P., & Palma, W. 2007, J. Time Ser. Anal., 28, 261 [CrossRef] [Google Scholar]
  5. Box, G. E. P., Jenkins, G. M., Reinsel, G. C., & Ljung, G. M. 2015, Time Series Analysis: Forecasting and Control, 5th edn. (John Wiley& Sons, Inc.) [Google Scholar]
  6. Brockwell, P., & Davis, R. 2002, Introduction to Time Series and Forecasting (New York: Springer-Verlag) [CrossRef] [Google Scholar]
  7. Broersen, P. M. T. 2006, Automatic Autocorrelation and Spectral Analysis (Secaucus, NJ, USA: Springer-Verlag, New York, Inc.) [Google Scholar]
  8. Campbell, J. Y., Lo, A. W. C., & MacKinlay, A. C. 1997, The Econometrics of Financial Markets (Princeton University Press), 632 [Google Scholar]
  9. Carvalho, L. M. V. D., Tsonis, A. A., Jones, C., Rocha, H. R. D., & Polito, P. S. 2007, Nonlinear Processes Geophys., 14, 723 [NASA ADS] [CrossRef] [Google Scholar]
  10. Chan, K. S., & Tong, H. 1987, J. Time Ser. Anal., 8, 277 [CrossRef] [Google Scholar]
  11. Conrad, J. S., Hameed, A., & Niden, C. 1994, J. Finance, 49, 1305 [CrossRef] [Google Scholar]
  12. Debosscher, J., Sarro, L. M., Aerts, C., et al. 2007, A&A, 475, 1159 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  13. Dubois, S. R., & Glanz, F. H. 1986, IEEE Trans. Pattern Anal. Mach. Intell., 8, 55 [CrossRef] [Google Scholar]
  14. Edelson, R. A., & Krolik, J. H. 1988, ApJ, 333, 646 [NASA ADS] [CrossRef] [Google Scholar]
  15. Edelson, R., Gelbord, J., Cackett, E., et al. 2017, ApJ, 840, 41 [NASA ADS] [CrossRef] [Google Scholar]
  16. Elorrieta, F., Eyheramendy, S., Jordán, A., et al. 2016, A&A, 595, A82 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  17. Eyheramendy, S., Elorrieta, F., & Palma, W. 2018, MNRAS, 481, 4311 [NASA ADS] [CrossRef] [Google Scholar]
  18. Feigelson, E. D., Babu, G. J., & Caceres, G. A. 2018, Front. Phys., 6, 80 [CrossRef] [Google Scholar]
  19. Foreman-Mackey, D., Agol, E., Ambikasaran, S., & Angus, R. 2017, AJ, 154, 220 [NASA ADS] [CrossRef] [Google Scholar]
  20. Gao, J., Cao, Y., Tung, W. W., & Hu, J. 2007, Multiscale Analysis of Complex Time Series: Integration of Chaos and Random Fractal Theory, and Beyond (Wiley-Interscience) [Google Scholar]
  21. Kelly, B. C., Becker, A. C., Sobolewska, M., Siemiginowska, A., & Uttley, P. 2014, ApJ, 788, 33 [NASA ADS] [CrossRef] [Google Scholar]
  22. Lindgren, G., Rootzén, H., & Sandsten, M. 2013, Stationary Stochastic Processes for Scientists and Engineers (Chapman and Hall) [CrossRef] [Google Scholar]
  23. Lira, P., Arévalo, P., Uttley, P., McHardy, I. M. M., & Videla, L. 2015, MNRAS, 454, 368 [NASA ADS] [CrossRef] [Google Scholar]
  24. Martin, R. 1999, Sign. Proces., 77, 139 [CrossRef] [Google Scholar]
  25. Miller, K. 1974, in Complex Stochastic Processes: an Introduction to Theory and Application (Addison-Wesley Publishing Company, Advanced Book Program), Adv. Book Program [Google Scholar]
  26. Perryman, M. A. C., Lindegren, L., Kovalevsky, J., et al. 1997, A&A, 323, L49 [NASA ADS] [Google Scholar]
  27. Picinbono, B., & Bondon, P. 1997, IEEE Trans. Sign. Proces., 45, 411 [NASA ADS] [CrossRef] [Google Scholar]
  28. Rehfeld, K., Marwan, N., Heitzig, J., & Kurths, J. 2011, Nonlinear Processes Geophys., 18, 389 [NASA ADS] [CrossRef] [Google Scholar]
  29. Richards, J. W., Starr, D. L., Butler, N. R., et al. 2011, ApJ, 733, 10 [NASA ADS] [CrossRef] [Google Scholar]
  30. Sekita, I., Kurita, T., & Otsu, N. 1991, Complex Autoregressive Model and its Properties (Electrotechnical Laboratory) [Google Scholar]
  31. Sewell, M. 2011, Characterization of Financial Time Series [Google Scholar]
  32. Tsai, H. 2009, Bernoulli, 15, 178 [CrossRef] [MathSciNet] [Google Scholar]
  33. Udalski, A., Soszynski, I., Szymanski, M., et al. 1999, Acta Astron., 49, 223 [Google Scholar]
  34. Uritskaya, O. Y., & Uritsky, V. M. 2015, Energy Econ., 49, 72 [CrossRef] [Google Scholar]
  35. Williams, S. R., Bryant, G., Snook, I. K., & van Megen, W. 2006, Phys. Rev. Lett., 96, 087801 [NASA ADS] [CrossRef] [Google Scholar]
  36. Zechmeister, M., & Kürster, M. 2009, A&A, 496, 577 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]

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