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Lecture
Risk, Variation, and Uncertainty
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Related lectures (29)
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Probability and Statistics
Explores joint random variables, conditional density, and independence in probability and statistics.
Probability and Statistics
Introduces probability, statistics, distributions, inference, likelihood, and combinatorics for studying random events and network modeling.
Continuous Random Variables
Explores continuous random variables, density functions, joint variables, independence, and conditional densities.
Probability and Statistics: Independence and Conditional Probability
Explores independence and conditional probability in probability and statistics, with examples illustrating the concepts and practical applications.
Monte Carlo Methods and Direct Integration in Civil Engineering
Explores Monte Carlo methods and direct integration in civil engineering for risk analysis and management.
Probability and Statistics
Introduces key concepts in probability and statistics, such as events, Venn diagrams, and conditional probability.
Statistics: Laws of Large Numbers
Explores fundamental theorems in statistics, including laws of large numbers and the central limit theorem.
Conditional Probability: Prediction Decomposition
Explores conditional probability, Bayes' theorem, and prediction decomposition for informed decision-making.
Risk Assessment: Understanding Uncertainty in Environmental Projects
Covers risk and uncertainty in environmental projects, focusing on cost-benefit analysis and the concept of certainty equivalent for risk-averse individuals.
Advanced Probability: Probability Concepts and Applications
Explores advanced probability concepts, independence of events, expected value theorem, and inversions in permutations.
