Statistical EstimationExplores statistical estimation, comparing estimators based on mean and variance, and delving into mean squared error and Cramér-Rao bound.
Testing: t-testsCovers t-tests, p-values calculation, and comparison of coefficients.
Dependence and CorrelationExplores dependence, correlation, and conditional expectations in probability and statistics, highlighting their significance and limitations.
Probability and StatisticsIntroduces probability, statistics, distributions, inference, likelihood, and combinatorics for studying random events and network modeling.
Mean-Square-Error InferenceCovers the concept of mean-square-error inference and optimal estimators for inference problems using different design criteria.
