I.I.D

Creator

Creator

Seonglae Cho

Created

Created

2023 Mar 27 16:38

Editor

Editor

Seonglae Cho

Edited

Edited

2024 Oct 3 11:39

Refs

Refs

i.i.d. assumption, iid

independent and identically distributed

Reverse of

Markov Chain sequence data

Random Variables, when there are multiple, are mutually independent and all have the same

Probability Distribution

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

Identical distributed

Independently distributed

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

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