Convergence concepts in probability MOC

Convergence in probability

A sequence (𝑋𝑖)𝑖=1 of real random variables is said to converge in probability to 𝑋 iff either of the equivalent conditions are met for all 𝜖 >0: #m/def/prob

lim𝑖(|𝑋𝑖𝑋|>𝜖)=0lim𝑖(|𝑋𝑖𝑋|<𝜖)=1

This is precisely convergence under the Ky Fan metric.


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