Canonical Correlation Analysis

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Covers the Bayes discriminant rule for allocating individuals to populations based on measurements and prior probabilities.

Covers elliptical distributions, including properties, applications, and risk management implications.

Introduces multivariate statistics, covering normal distribution properties and characteristic functions.

Introduces multivariate statistics, focusing on uncovering associations between components in data in vector form.

Introduces major statistical methodologies for uncovering associations between vector components in multivariate data.

Covers distributions and techniques in Quantitative Risk Management for financial modeling.

Explores probability distributions for random variables in air pollution and climate change studies, covering descriptive and inferential statistics.

Covers descriptive statistics, hypothesis testing, and correlation analysis with various probability distributions and robust statistics.

Explores bias, variance, and confidence intervals in parameter estimation using examples and distributions.

Explores proof concepts, techniques, and applications in logic, mathematics, and algorithms.