If XndX and a measurable function g is continuous at X almost surely, then g(Xn)dg(X). The same principle holds for random elements of metric spaces.
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- Convergence in distribution
- Convergence of random variables
- Probability theory
- Probability and statistics
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- Donsker theorem for empirical distribution functions
- Functional mean test
- Integrated random-walk limit
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