Markov chainsCovers Markov chains, Monte Carlo sampling, isotropy, and the curse of dimensionality.
Do ImageNet Classifiers Generalize?Examines the generalization of ImageNet classifiers, safety-critical applications, overfitting, and the reliability of machine learning models.
Estimating RCovers the estimation of R, including the continuity theorem and limit laws for random variables.
Factorial design IIExplores the visualization and selection of effects in a 2N Full Factorial Design using the Normal plot method.
Survival Data AnalysisDelves into survival data analysis, exploring modeling times until events and applications in various fields.
Copulas and ExtremesExplores copulas, margins, extremes, and parametric models for higher dimensions and bivariate data.
Extreme-Value TheoremsExplores Extremal Types and Exceedance Theorems, GEV, GPD, stability, and limitations in extreme value modeling.