expression for the clustering in the graph is derived. By tuning the parameters of the model, it is possible to generate a graph … with arbitrary clustering, expected degree and { in the power law case { tail exponent. …

Abstract: Prediction under model uncertainty is an important and difficult issue. Traditional prediction methods (such … as pretesting) are based on model selection followed by prediction in the selected model, but the reported prediction and … the reported prediction variance ignore the uncertainty from the selection procedure. This paper proposes a weighted …