Asymptotic distributions and subsampling in spectral analysis for almost periodically correlated time series
DOI10.3150/10-BEJ269zbMath1284.62564arXiv1102.2064MaRDI QIDQ637103
Publication date: 2 September 2011
Published in: Bernoulli (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1102.2064
consistencyspectral analysissubsampling\(\alpha \)-mixing propertiesalmost periodically correlated time series
Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Asymptotic distribution theory in statistics (62E20) Central limit and other weak theorems (60F05) Inference from stochastic processes and spectral analysis (62M15)
Related Items (8)
Cites Work
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- Bibliography on cyclostationarity
- Cyclostationarity: half a century of research
- An approach to modeling seasonally stationary time series
- Correlation theory of stationary and related random functions. Volume II: Supplementary notes and references
- Subsampling
- Mixing: Properties and examples
- Testing stationarity for stock market data
- Consistency and application of moving block bootstrap for non-stationary time series with periodic and almost periodic structure
- Estimation for almost periodic processes
- Correlation theory of almost periodically correlated processes
- A CENTRAL LIMIT THEOREM FOR MIXING TRIANGULAR ARRAYS OF VARIABLES WHOSE DEPENDENCE IS ALLOWED TO GROW WITH THE SAMPLE SIZE
- Subsampling in testing autocovariance for periodically correlated time series
- PERIODIC CORRELATION IN STRATOSPHERIC OZONE DATA
- Moderate deviations in subsampling distribution estimation
- Periodically Correlated Random Sequences
- Testing for periodic autocorrelations in seasonal time series data
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