Supplementary Material: Uncertainty Propagation in Long-term Structured Regression on Evolving Networks
نویسندگان
چکیده
In order to model the distribution of input variables, a reasonable assumption is that input variables x are generated by some process u, and that process has a Gaussian error. Thus, the distribution of input variables can be presented as ppxq N pu,Σxq. The new data point for prediction will be annotated as x . In the general case, we predict on the entire set of points representing a single snapshot of a network, so we annotate these testing points with X .
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Uncertainty Propagation in Long-Term Structured Regression on Evolving Networks
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