Probability and Statistics

Basic concepts of probability theory and applications of Combinatorics. Conditional probability. Random variables and random vectors. Numerical characteristics. Characteristic functions. Limit theorems (law of large numbers and the central limit theorem). Elements of Statistics (estimates of parameters, hypothesis testing). Monte Carlo methods.

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