iid

Creator

Creator

Alan Jo

Created

Created

2023 Mar 27 16:38

Editor

Editor

Alan Jo

Edited

Edited

2023 Jun 25 6:0

Refs

Refs

i.i.d. assumption

independent and identically distributed

확률변수가 여러 개 있을 때 이들이 상호독립적이며, 모두 동일한 확률분포 f(x)를 가진다

통계학에서는 좋은 가정이 성립되지 않을 때, 추정량에 어떤 악영향이 있으며 어떤 대처를 해야 하는지 다룬다

the n samples your observed are considered as random variables.

같은 샘플이니 같은 분포가지는 랜덤변수일것

Clarifications on I.I.D. assumption in machine learning

In this question, it was stated that the assumption of i.i.d. for data comes in the form of $$(X_i,y_i)∼P(X,y),∀i=1,...,N \\(X_i,y_i) \;independent\; of \;(X_j,y_j),\;∀i≠j∈{1,...,N} $$ I am clear w...

Clarifications on I.I.D. assumption in machine learning

https://stats.stackexchange.com/questions/546518/clarifications-on-i-i-d-assumption-in-machine-learning

Clarifications on I.I.D. assumption in machine learning

Recommendations

//////