Mathematics · Probability Theory
Let {Xn, Yn : n ≥ 1} and (X, Y) be random variables on a probability space (Ω, F, P). Which of the following implications is correct?
- 1Convergence in distribution always implies convergence almost surely
- 2If Xn → X in probability and Yn → Y in probability, then Xn + Yn → X + Y in distribution✓
- 3If Xn → X in distribution and Yn → 0 in distribution, then XnYn → X in distribution
- 4If Xn → X in distribution and Yn → Y in distribution, then Xn + Yn → X + Y in distribution
Correct answer
If Xn → X in probability and Yn → Y in probability, then Xn + Yn → X + Y in distribution
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