Economists often rely on estimates of linear fixed effects models developed by other teams of researchers. Assessing the uncertainty in these estimates can be challenging. I propose a form of sample ...
Abstract: Linear regression models are increasingly becoming important in communication system operational efficiency improvement with applications in prediction-based demodulation in Non Orthogonal ...
Abstract: To optimize the dispatch of batteries, a model is required that can predict the state of energy (SOE) trajectory for a chosen open-loop power schedule to ensure admissibility (i.e., that ...
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