1 |
Wright, S. (1921). "Correlation and causation". Journal of agricultural research, Vol. 20, No. 7, pp. 557-585.
|
2 |
Munshi, J. (2016). "Spurious correlations in time series data: a note". SSRN Electronic Journal.August.
|
3 |
Calude, C. S. and Longo, G. (2017). "The deluge of spurious correlations in big data". Foundations of Science, Vol. 22, No. 3, pp. 595-612.
DOI
|
4 |
Alexander, K., Harald, S. and Peter, G. (2004). "Estimating mutual information". John-von-Neumann Institute for Computing, Germany, D-52425.
|
5 |
Calude, C. S. and Longo, G. (2017). "The deluge of spurious correlations in big data". Foundations of Science, Vol. 22, No. 3, pp. 595-612.
DOI
|
6 |
Cahill, N. D. (2010). "Normalized measures of mutual information with general definitions of entropy for multimodal image registration". B. Fischer, B. Dawant, and C. Lorenz (Eds.): WBIR 2010, LNCS 6204, pp. 258-268.
|
7 |
Gel'fand, I. M. and Yaglom, A. M. (1957). "Computation of the amount of information about a stochastic function contained in another such function". Uspekhi Mat. Nauk, Vol. 12, No. 1(73), pp. 3-52.
|
8 |
Kim, J. T., Oh, B. J. and Park, J. Y. (2013). "Standard trends for the bigdata technologies". Electronics and Telecommunications Trends, pp. 92-99.
|