Defines quadratic variation of a square integrable martingale Demonstrates pathwise formulae for the stochastic integral Uses the technique of random time change to study the solution of a stochastic differential equation Studies the predictable increasing process to introduce predictable stopping times and prove the Doob Meyer decomposition theorem Is useful for a two-semester graduate level course on measure theory and probability
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