Identification of Persistent Cycles in Non-Gaussian Long-Memory Time Series

2008 ◽  
Vol 29 (4) ◽  
pp. 653-672 ◽  
Author(s):  
Mohamed Boutahar
Author(s):  
Jan Beran ◽  
Britta Steffens ◽  
Sucharita Ghosh

AbstractWe consider nonparametric regression for bivariate circular time series with long-range dependence. Asymptotic results for circular Nadaraya–Watson estimators are derived. Due to long-range dependence, a range of asymptotically optimal bandwidths can be found where the asymptotic rate of convergence does not depend on the bandwidth. The result can be used for obtaining simple confidence bands for the regression function. The method is illustrated by an application to wind direction data.


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