Theoretical Example 1 (Network structure 2)
{"Image DocumentName": "Theoretical Example 1 (Network structure 2)", "Image ImageDescription": "P(X1=-1) = \u00bd, P(X1=1) = \u00bd, P(X2=-1) = \u00bd, and P(X2=1) = \u00bd. Y is a synthesis variable with the following function: T is a binary response variable defined as: X1. X2. T. Y. Mention that this holds in the sample limit. Variables X1, X2, and Y have expected value 0 and variance 1. The application of linear SVMs results in the following weights: 1/2 for X1, 1/2 for X2, and for Y. Therefore, the non-causally relevant variable Y receives higher SVM weight than the causally relevant ones.", "Image XResolution": "37", "Image YResolution": "37", "Image ResolutionUnit": "Pixels/Centimeter", "Image Software": "SlidePlayer", "Image YCbCrPositioning": "Centered"}