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Cognition, Language & Emotions
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Related lectures (28)
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Detection & Estimation
Covers binary classification, hypothesis testing, likelihood ratio tests, and decision rules.
Signal Detection Theory
Explores Signal Detection Theory and its impact on decision-making processes in statistics and experimental design.
Probability and Statistics: Basics and Applications
Covers fundamental concepts of probability and statistics, focusing on data analysis, graphical representation, and practical applications.
Law of Large Numbers: Strong Convergence
Explores the strong convergence of random variables and the normal distribution approximation in probability and statistics.
Probability and Statistics
Covers fundamental concepts in probability and statistics, emphasizing data analysis techniques and statistical modeling.
Probability and Statistics
Introduces key concepts in probability and statistics, illustrating their application through various examples and emphasizing the importance of mathematical language in understanding the universe.
Probability and Statistics
Explores joint random variables, conditional density, and independence in probability and statistics.
Probability and Statistics
Introduces key concepts in probability and statistics, such as events, Venn diagrams, and conditional probability.
Confidence Intervals and Hypothesis Testing
Explores confidence intervals, hypothesis testing, and decision-making using test statistics and p-values.
Estimators and Confidence Intervals
Explores bias, variance, unbiased estimators, and confidence intervals in statistical estimation.