Sinopsis
Introduction * Information Theory and Log-Likelihood Models: A Basis for Model Selection and Inference * Practical Use of the Information-Theoretic Approach * Model-Selection Uncertainty with Examples * Monte Carlo and Example-Based Insights * Statistical Theory * Summary
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