Review of measure theory: sigma fields, pi-lambda theorem, construction of Lebesgue measure on the real line, various notions of convergence of sequence of functions, convergence theorems, product measures and Fubini’s theorem.

Probability space, random variables, Kolmogorov consistency theorem, independence and BorelCantelli lemmas, weak and strong laws of large numbers, characteristic function, Levy inversion formula, Levy continuity theorem, various versions of central limit theorem, series of independent random variables and series theorems.

 

Text books:

  1. Albert N. Shiryaev, Probability-1, Springer, 2016
  2. Albert N. Shiryaev, Probability-2, Springer, 2018


Reference books:

  1. K. B. Athreya and S. Lahiri, Measure Theory and Probability Theory, Springer, 2006
  2. P. Billingsley, Probability and Measure, Wiley India Pvt Ltd; Third edition, 2008
  3. O. Kallenberg, Foundations of Modern Probability, Springer-Verlag, Second edition, 2002