Explores multivariate methods like PCA, SVD, PLS, and ICA for dimensionality reduction in functional brain imaging.
Delves into complex systems, strange attractors, and epidemics, emphasizing the influence of psychological factors and the role of contagion.
Explores autocorrelation, periodicity, and spurious correlations in time series data, emphasizing the importance of understanding underlying processes and cautioning against misinterpretation.
Explores scientific misconduct, p-value optimization, and spotting issues with conclusions using real-world examples.
Explores the Red bus/Blue bus paradox, nested logit models, and multivariate extreme value models in transportation.
Explores dependence, correlation, and conditional expectations in probability and statistics, highlighting their significance and limitations.
