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model selection criteria

  1. Nicole Seaman

    P1.T2.505. Model selection criteria (Diebold)

    Learning outcomes: Define mean squared error (MSE) and explain the implications of MSE in model selection. Explain how to reduce the bias associated with MSE and similar measures. Compare and evaluate model selection criteria, including s^2, the Akaike information criterion (AIC), and the...
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