Estimators and BiasExplores estimators, bias, and efficiency in statistics, emphasizing the trade-off between bias and variability.
Estimation CriteriaCovers criteria for estimating parameters, emphasizing the importance of consistency, bias, variance, and efficiency of estimators.
Estimator of VarianceExplores variance estimation, creating personal estimators, correcting bias, and understanding Mean Square Error in statistical analysis.
Monte Carlo: Markov ChainsCovers unsupervised learning, dimensionality reduction, SVD, low-rank estimation, PCA, and Monte Carlo Markov Chains.
Path Integral Molecular DynamicsExplores path integral molecular dynamics simulations, focusing on quantum kinetic energy estimators and convergence with the number of replicas.