Mathematics – Statistics Theory
Scientific paper
2005-08-16
Annals of Statistics 2005, Vol. 33, No. 4, 1890-1933
Mathematics
Statistics Theory
Published at http://dx.doi.org/10.1214/009053605000000309 in the Annals of Statistics (http://www.imstat.org/aos/) by the Inst
Scientific paper
10.1214/009053605000000309
An exact form of the local Whittle likelihood is studied with the intent of developing a general-purpose estimation procedure for the memory parameter (d) that does not rely on tapering or differencing prefilters. The resulting exact local Whittle estimator is shown to be consistent and to have the same N(0,{1/4}) limit distribution for all values of d if the optimization covers an interval of width less than {9/2} and the initial value of the process is known.
Phillips Peter C. B.
Shimotsu Katsumi
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