Filtered log-periodogram regression of long memory processes
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Publication:715791
DOI10.1080/15598608.2009.10411959zbMath1211.62164OpenAlexW2033254222MaRDI QIDQ715791
Publication date: 18 April 2011
Published in: Journal of Statistical Theory and Practice (Search for Journal in Brave)
Full work available at URL: http://nbn-resolving.de/urn:nbn:de:bsz:352-opus-116770
Inference from stochastic processes and prediction (62M20) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Inference from stochastic processes and spectral analysis (62M15)
Uses Software
Cites Work
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- THE ESTIMATION AND APPLICATION OF LONG MEMORY TIME SERIES MODELS
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- On unified model selection for stationary and nonstationary short- and long-memory autoregressive processes
- ASYMPTOTICS FOR THE LOW-FREQUENCY ORDINATES OF THE PERIODOGRAM OF A LONG-MEMORY TIME SERIES
- AUTOMATIC SEMIPARAMETRIC ESTIMATION OF THE MEMORY PARAMETER OF A LONG-MEMORY TIME SERIES
- RATE OPTIMAL SEMIPARAMETRIC ESTIMATION OF THE MEMORY PARAMETER OF THE GAUSSIAN TIME SERIES WITH LONG‐RANGE DEPENDENCE
- Pooled Log Periodogram Regression
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