Stochastic dominated convergence theorem
ID: stochastic-dominated-convergence-theorem
If uniformly bounded predictable processes converge pointwise to , then their integrals against a fixed semimartingale converge to uniformly on compact intervals in probability. Localized domination gives corresponding extensions. This continuity permits a functional monotone-class argument from elementary predictable integrands to all bounded predictable integrands.
// Target: probability-and-statistics.bigb
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