Discriminant Analysis: Bayes Rule

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Explores dependence concepts, copulas, correlation fallacies, and rank correlations in statistics.

Explains confidence intervals, parameter estimation methods, and the central limit theorem in statistical inference.

Covers Maximum Likelihood Estimation, focusing on ML Estimation-Distribution, Shrinkage Estimation, and Loss functions.

Explores bias, variance, unbiased estimators, and confidence intervals in statistical estimation.

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