Journal
SOFTWAREX
Volume 10, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.softx.2019.100265
Keywords
Shannon transfer entropy; Renyi transfer entropy; Effective transfer entropy; Bootstrap inference; R
Categories
Funding
- German Research Foundation (Deutsche Forschungsgemeinschaft DFG)
- Open Access Publishing Fund of the University of Tubingen
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This paper shows how to quantify and test for the information flow between two time series with Shannon transfer entropy and Renyi transfer entropy using the R package RTransferEntropy. We discuss the methodology, the bias correction applied to calculate effective transfer entropy and outline how to conduct statistical inference. Furthermore, we describe the package in detail and demonstrate its functionality by means of several simulated processes and present an application to financial time series. (C) 2019 The Authors. Published by Elsevier B.V.
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