arXiv:1011.0175 [stat.CO]AbstractReferencesReviewsResources
A Comparison of Methods for Computing Autocorrelation Time
Published 2010-10-31Version 1
This paper describes four methods for estimating autocorrelation time and evaluates these methods with a test set of seven series. Fitting an autoregressive process appears to be the most accurate method of the four. An R package is provided for extending the comparison to more methods and test series.
Related articles: Most relevant | Search more
arXiv:1710.03157 [stat.CO] (Published 2017-10-09)
Comparison of Gaussian process modeling software
arXiv:1509.03253 [stat.CO] (Published 2015-09-10)
Comparison of hazard rate estimation in R
arXiv:1502.04472 [stat.CO] (Published 2015-02-16)
Comparison of Value-at-Risk models: the MCS package