causal inferencedirection of dependencemultiple linear regressionpartial correlationMethods to determine the direction of dependence in linear models, that is, distinguishing between the dataゞenerating mechani
2a, the causal interaction of X and Y belongs to the second case above, which can be inferred from the correlation index in the same order as ϱC ≥ T ≫ ϱD. In real applications, it can happen that the causal signals in transition are not strong enough, making the values ...
Josselin Garnier, Correlation-based imaging in random media 43:09 Maxim Kontsevich, Reflections, orthogonal and symplectic 26:57 Mikhael Gromov - 24 Mathematical Structures arising from Genetics and Molecular 01:51:30 Minoru Wakimoto, Mock modular forms and representation theory of affine Lie supe...
F. A. Hayek entitled his 1974 Nobel Lecture whose principal theme was to attack the simple notion that the long-observed correlation between aggregate demand and employment was a reliable basis for conducting macroeconomic policy, “The Pretence of Knowledge.” Reiterating an argument that he had...
Common method variance (CMV) Common method variance’s (CMV’s) common methods bias arises from the correlations between the variables measured with the same method (e.g., in self-reported surveys), which can inflate the estimated coefficients (Podsakoff et al., 2003, Spector and Brannick, ...
Within the last few years, several attempts have been made to apply formal analysis methods also toreal time systems. The ideas and techniques presented so far are well-suited for the verification of systems in which onlycausalaspects of time are important. In some applications it is desirable ...
We have also computed the Pearson correlation coefficient (\(r = 0.65\)) between TD and NC, revealing a relatively strong correlation. All in all, the metrics capture similar aspects, but only to some extent, thus highlighting the importance of the term difference metric for evaluating the ...
a morphological approach based on sequential immunohistochemistry on the same tissue section combined with slide digitization and image processing was adopted to detect and quantify cancer cells with a p-EMT phenotype [49]. These analyses demonstrated a strong correlation between p-EMT at the time of...
They point out that regression analyses using concentration measures as explanatory variables exhibit an endogeneity problem that suggests correlation even when there is no causal effect. They argue further that even the theoretical connection between concentration measures and price is open to discussion,...
Chemical industrial processes are composed of a large number of process variables with high correlation, so the causal structure is probably not acyclic. Therefore, in this paper, contribution plots are used to select some variables before constructing the causal network, which simplifies the ...