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Delves into hypothesis testing, covering test statistics, critical regions, power functions, p-values, multiple testing, and non-parametric statistics.
Explores the challenges of multiple testing in genomic data analysis, covering error rate control, adjusted p-values, permutation tests, and pitfalls in hypothesis testing.
Explores Portfolio Theory with a focus on the Risk Parity Strategy, discussing asset allocation proportional to the inverse of volatility and comparing different diversified portfolios.
