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Probability Theory: Midterm Solutions
Covers the solutions to the midterm exam of a Probability Theory course, including calculations of probabilities and expectations.
Probability Theory: Discrete Random Variables
Covers discrete random variables, probability mass function, properties, and binomial distribution with illustrative examples.
Random Variables: Expectation and Independence
Explores random variables, expectation, and independence in probability theory.
Probability and Statistics: Discrete Random Variables
Explores discrete random variables, mass functions, and distribution functions in probability and statistics.
Binomial and Poisson Mass Functions
Explores binomial and Poisson mass functions, calculating probabilities and discussing distribution functions of random variables.
Monte Carlo Methods: Thermal Radiation Applications
Discusses the application of Monte Carlo methods in thermal radiation analysis, focusing on probability functions and numerical integration techniques.
Copulas and Tail Dependence
Explores copulas, rank correlations, and tail dependence measures in risk management.
Probability and Statistics
Covers p-quantile, normal approximation, joint distributions, and exponential families in probability and statistics.
Probability Theory: Random Variables and Independence
Explores discrete and continuous random variables, independence, and probability functions.
Random Variables and Expected Value
Introduces random variables, probability distributions, and expected values through practical examples.