Differentiate between strong convergence of a random variable and weak convergence in probability
Solution:
For weak convergence law:
limn→∞P(∣Yn−Y∣<ϵ)=1\lim _{n \rightarrow \infty} P\left(\left|Y_{n}-Y\right|<\epsilon\right)=1limn→∞P(∣Yn−Y∣<ϵ)=1
For strong convergence law:
P(limn→∞∥Yn−Y∣∣<ϵ)=1P\left(\lim _{n \rightarrow \infty} \| Y_{n}-Y||<\epsilon\right)=1P(limn→∞∥Yn−Y∣∣<ϵ)=1
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