Articles written in Resonance – Journal of Science Education
Volume 26 Issue 2 February 2021 pp 191-210 General Article
Determining and measuring cause-eﬀect relationships is fundamental to most scientiﬁc studies of natural phenomena. The notion of causation is distinctly diﬀerent from correlation which only looks at the association of trends or patterns in measurements. In this article, we review diﬀerent notions of causality and focus especially on measuring causality from time-series data. Causality testing ﬁnds numerous applications in diverse disciplines such as neuroscience, econometrics, climatology, physics, and artiﬁcial intelligence.
Volume 26 | Issue 10