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Published in 2020 at "Electronic Journal of Statistics"
DOI: 10.1214/20-ejs1748
Abstract: The classical regular and partial autocorrelation functions are powerful tools for stationary time series modelling and analysis. However, it is increasingly recognized that many time series are not stationary and the use of classical global…
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Keywords:
local partial;
partial autocorrelation;
time series;
autocorrelation function ... See more keywords
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Published in 2023 at "Entropy"
DOI: 10.3390/e25010105
Abstract: In a time series context, the study of the partial autocorrelation function (PACF) is helpful for model identification. Especially in the case of autoregressive (AR) models, it is widely used for order selection. During the…
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Keywords:
count processes;
time series;
partial autocorrelation;
series ... See more keywords