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  title: '"I got stuck at this paragraph:\n\n> A causal mode..."',
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  text: 'I got stuck at this paragraph:\n\n> A causal model goes beyond the graph by including specific probability\n> functions P(Xi|pai) for how to calculate the probability of each node\n> Xi taking on the value xi given the values pai of xi's immediate\n> ancestors. It is implicitly assumed that the causal model factorizes,\n> so that the probability of any value assignment x to the whole graph\n> can be calculated using the product:\n> \n> P(x)=∏iP(xi|pai)\n> \n> Then the counterfactual conditional P(x|do⁡(Xj=xj)) is calculated via:\n> \n> P(x|do⁡(Xj=xj))=∏i≠jP(xi|pai)\n\nFirst of all, it seems to me that "..Xi taking on the value xi given the values pai of xi's immediate ancestors" should be "...Xi's immediate ancestors" (capital X). Otherwise I didn't understand this part.  \nFurther down, I don't know what "do⁡(Xj=xj)" means and I'm unable to figure out from context. So this is where I stopped reading.  \nIn fairness, I'm not actually a computer scientist, but this is the closest description of me among the advanced courses of this topic.',
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