Explores scientific misconduct, p-value optimization, and spotting issues with conclusions using real-world examples.
Explores portfolio rate of return, valuation, risk characterization, and historical performance, emphasizing diversification benefits and mean-variance analysis.
Explores dependence, correlation, and conditional expectations in probability and statistics, highlighting their significance and limitations.
Explores stationarity in stochastic processes, showcasing how statistical characteristics remain constant over time and the implications on random variables and Fourier transforms.
