Asymptotic theory for curve-crossing analysis
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References listed on IDEAS
- Romano, Joseph P. & Wolf, Michael, 2000. "A more general central limit theorem for m-dependent random variables with unbounded m," Statistics & Probability Letters, Elsevier, vol. 47(2), pages 115-124, April.
- Kratz, Marie F. & León, JoséR., 1997. "Hermite polynomial expansion for non-smooth functionals of stationary Gaussian processes: Crossings and extremes," Stochastic Processes and their Applications, Elsevier, vol. 66(2), pages 237-252, March.
- Giraitis, Liudas & Koul, Hira L. & Surgailis, Donatas, 1996. "Asymptotic normality of regression estimators with long memory errors," Statistics & Probability Letters, Elsevier, vol. 29(4), pages 317-335, September.
- Biao Wu, Wei & Min, Wanli, 2005. "On linear processes with dependent innovations," Stochastic Processes and their Applications, Elsevier, vol. 115(6), pages 939-958, June.
- Shimizu, Kunio & Tanaka, Minoru, 2003. "Expected number of level-crossings for a strictly stationary ellipsoidal process," Statistics & Probability Letters, Elsevier, vol. 64(3), pages 305-310, September.
CitationsCitations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
- Alexeev, Vitali & Maynard, Alex, 2012.
"Localized level crossing random walk test robust to the presence of structural breaks,"
Computational Statistics & Data Analysis,
Elsevier, vol. 56(11), pages 3322-3344.
- Vitali Alexeev & Alex Maynard, 2010. "Localized Level Crossing Random Walk Test Robust to the Presence of Structural Breaks," Working Papers 1001, University of Guelph, Department of Economics and Finance.
More about this item
KeywordsCentral limit theorem Curve-crossing Linear processes Multiple Wiener-Ito integral Non-central limit theorem Nonlinear time series;
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