Panel data: serial correlationExplores the panel effect model with fixed and random effects, discussing estimation challenges and the impact of serial correlation.
Bayesian EstimationCovers the fundamentals of Bayesian estimation, focusing on the application of Bayes' Theorem in scalar estimation.
Monte Carlo: Markov ChainsCovers unsupervised learning, dimensionality reduction, SVD, low-rank estimation, PCA, and Monte Carlo Markov Chains.
Statistical EstimationExplores statistical estimation, comparing estimators based on mean and variance, and delving into mean squared error and Cramér-Rao bound.
