On the sample mean of locally stationary long-memory processes
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Publication:993821
DOI10.1016/j.jspi.2010.04.041zbMath1233.62160OpenAlexW1995673967MaRDI QIDQ993821
Publication date: 20 September 2010
Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)
Full work available at URL: http://hdl.handle.net/10533/144883
Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Central limit and other weak theorems (60F05) Non-Markovian processes: estimation (62M09) Inference from stochastic processes and spectral analysis (62M15)
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Cites Work
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- On parameter estimation for locally stationary long-memory processes
- On large-sample estimation for the mean of a stationary random sequence
- Fitting time series models to nonstationary processes
- On the Kullback-Leibler information divergence of locally stationary processes
- Asymptotic distributions of the sample mean, autocovariances, and autocorrelations of long-memory time series
- THE ESTIMATION AND APPLICATION OF LONG MEMORY TIME SERIES MODELS
- Long‐Memory Time Series
- ON THE EFFICIENCY OF THE SAMPLE MEAN IN LONG-MEMORY NOISE
- On a time deformation reducing nonstationary stochastic processes to local stationarity