Semiparametric regression models combine the interpretability of parametric components with the flexibility of nonparametric functions, enabling analysts to capture complex relationships without ...
Model averaging addresses the challenge of model uncertainty by combining estimates from multiple candidate models rather than relying on a single selected specification. By assigning weights to each ...
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