How to Lie with StatisticsExplores scientific misconduct, p-value optimization, and spotting issues with conclusions using real-world examples.
Portfolio Management: Risk and ReturnExplores portfolio rate of return, valuation, risk characterization, and historical performance, emphasizing diversification benefits and mean-variance analysis.
Red bus/Blue bus paradoxExplores the Red bus/Blue bus paradox, nested logit models, and multivariate extreme value models in transportation.
PCA: Key ConceptsCovers the key concepts of PCA, including reducing data dimensionality and extracting features, with practical exercises.
PCA: Key ConceptsCovers the key concepts of Principal Component Analysis (PCA) and its practical applications in data dimensionality reduction and feature extraction.
Dependence and CorrelationExplores dependence, correlation, and conditional expectations in probability and statistics, highlighting their significance and limitations.
