Description
Probability spaces and probability measures, sigma-fields, random variables and distributions, expected values as Lebesgue integrals, change-of-variable formula, laws of large numbers, integral inequalities, convergence theorems, uniform integrability, product measures, Fubini's theorem, independence and related topics, Borel–Cantelli lemmas, maximal inequalities, modes of convergence, CLT, characteristic functions.
Reference text in its original language
Probability spaces and probability measures, sigma-fields, random variables and distributions, expected values as Lebesgue integrals, change-of-variable formula, laws of large numbers, integral inequalities, convergence theorems, uniform integrability, product measures, Fubini's theorem, independence and related topics, Borel–Cantelli lemmas, maximal inequalities, modes of convergence, CLT, characteristic functions.
Sources and references
Dates and sources are retained to help you verify the information. Translations are provided to facilitate reading; the official source governs conditions and requirements.
Source reference : https://calendar.carleton.ca/grad/courses/STAT/