independent&identically distributed

Independent and Identically Distributed

Towards Data Science

A collection of random variables is independent and identically distributed if each variable has the same probability distribution as the others and all are independent.

Infinitely Divisible Distribution

Towards Data Science

Infinitely Divisible Distribution, Stable Distribution, Tempered Stable Distribution, Normal Distribution, Central Limit Theorem

IID: Meaning and Interpretation for Beginners

Towards Data Science

In statistics, data analysis, and machine learning topics, the concept of IID frequently appears as a fundamental assumption or condition. It stands for “ independent and identically distributed ”. An...

Ignoring the IID assumption isn’t a great idea

R-bloggers

The IID assumption (independent and identically distributed) is pretty important. Ignoring it can lead you to make incorrect conclusions (usually […] The post Ignoring the IID assumption isn’t a great...

Uncorrelatedness and Independence

Analytics Vidhya

A lot of people have difficulties to differentiate principal component analysis (PCA) and independent component analysis (ICA). PCA is a machine learning algorithm that can transform a data set…

Conditional Independence

Towards AI

The independence that can be realized in the real world When it comes to probability theory we all would have heard of joint distribution, marginal distribution, independence, etc. In this article, I...

System Design #A1:- Consistency in Distributed Systems: A Fundamental Challenge

Javarevisited

A distributed system is a collection of independent computers (nodes) that collaborate to achieve a shared objective. These nodes are interconnected through a network and operate as a unified system. ...