Probability and StatisticsIntroduces probability, statistics, distributions, inference, likelihood, and combinatorics for studying random events and network modeling.
Detection & EstimationCovers binary classification, hypothesis testing, likelihood ratio tests, and decision rules.
Jacamar Data AnalysisCovers jacamar data analysis, smoking data models, and challenges with log-linear models in visual impairment data.
Probability and StatisticsDelves into probability, statistics, paradoxes, and random variables, showcasing their real-world applications and properties.
Dependence and CorrelationExplores dependence, correlation, and conditional expectations in probability and statistics, highlighting their significance and limitations.
Probability and StatisticsIntroduces key concepts in probability and statistics, such as events, Venn diagrams, and conditional probability.
