Description
From Measures to It Integrals gives a clear account of measure theory, leading via L2-theory to Brownian motion, It integrals and a brief look at martingale calculus. Modern probability theory and the applications of stochastic processes rely heavily on an understanding of basic measure theory. This text is ideal preparation for graduate-level courses in mathematical finance and perfect for any reader seeking a basic understanding of the mathematics underpinning the various applications of It calculus.
