Probability Theory (Independent University of Moscow, autumn 2026)

Probability on a measure-theoretic footing: probability spaces, conditional probability and independence, random variables, expectation as the Lebesgue integral, inequalities and the law of large numbers, Kolmogorov's consistency theorem, characteristic functions, the central limit theorem.