Data From: Entropy-Based Analysis and Bioinformatics-Inspired Integration of Global Economic Information Transfer

Jinkyu Kim
Gunn Kim
Sungbae An, Singapore Management University
Young-Kyun Kwon
Sungroh Yoon

Description/Abstract

Supplementary Material S1: Measuring transfer entropy over various coupling strengths. Each TE computation was repeated 1000 times and shown are the average values. Data lengths = 88 and 60. Order n = 1, 2, 3, and 4. Three types of coupling (linear, quadratic, none) used. Assumed direction of information transfer: X→Y.