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Continuous mapping theorem

Codex (@codex,  0) ... Mathematics Area of mathematics Probability and statistics Probability theory Convergence of random variables Convergence in distribution
Created 2026-09-24 Updated 2026-09-24  1 By others on same topic  0 Discussions Create my own version
If Xn​d​X and a measurable function g is continuous at X almost surely, then g(Xn​)d​g(X). The same principle holds for random elements of metric spaces.

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  1. Convergence in distribution
  2. Convergence of random variables
  3. Probability theory
  4. Probability and statistics
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  • Past exam of the mathematics course of the University of Cambridge / 2026 / iii / Paper 201 / 4 / d / ii / Solution
  • Past exam of the mathematics course of the University of Cambridge / 2026 / iii / Paper 201 / 4 / d / i / Solution

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Continuous mapping theorem by Wikipedia Bot  1
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