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Etymologie

Was (wer) ist pairwise identification - definition

PROPERTY OF A SET OF RANDOM VARIABLES ASSERTING INDEPENDENCE FOR ANY PAIR OF VARIABLES.

Pairwise independent

Animal identification

PROCESS DONE TO IDENTIFY AND TRACK SPECIFIC ANIMALS

List of animal identification methods; Animal Identification; Animal ID; Animal id; Livestock identification

Animal identification using a means of marking is a process done to identify and track specific animals. It is done for a variety of reasons including verification of ownership, biosecurity control, and tracking for research or agricultural purposes.

https://en.wikipedia.org/wiki/Animal_identification

Set identification

Set identifiable; Partial identification; Set identifiability

In statistics and econometrics, set identification (or partial identification) extends the concept of identifiability (or "point identification") in statistical models to situations where the distribution of observable variables is not informative of the exact value of a parameter, but instead constrains the parameter to lie in a strict subset of the parameter space. Statistical models that are set identified arise in a variety of settings in economics, including game theory and the Rubin causal model.

https://en.wikipedia.org/wiki/Set_identification

Data re-identification

IDENTIFYING AN ANONYMIZED PERSON FROM DEANOMIZED DATA

De-anonymization; De-anonymisation; Deanonymisation; Deanonymization; De-anonymize; Data Re-Identification; Re-identification; Reidentification

Data re-identification or de-anonymization is the practice of matching anonymous data (also known as de-identified data) with publicly available information, or auxiliary data, in order to discover the individual to which the data belong. This is a concern because companies with privacy policies, health care providers, and financial institutions may release the data they collect after the data has gone through the de-identification process.

https://en.wikipedia.org/wiki/Data_re-identification

Wikipedia

Pairwise independence

In probability theory, a pairwise independent collection of random variables is a set of random variables any two of which are independent. Any collection of mutually independent random variables is pairwise independent, but some pairwise independent collections are not mutually independent. Pairwise independent random variables with finite variance are uncorrelated.

A pair of random variables X and Y are independent if and only if the random vector (X, Y) with joint cumulative distribution function (CDF) $F_{X,Y}(x,y)$ satisfies

F_{X,Y}(x,y)=F_{X}(x)F_{Y}(y),

or equivalently, their joint density $f_{X,Y}(x,y)$ satisfies

f_{X,Y}(x,y)=f_{X}(x)f_{Y}(y).

That is, the joint distribution is equal to the product of the marginal distributions.

Unless it is not clear in context, in practice the modifier "mutual" is usually dropped so that independence means mutual independence. A statement such as " X, Y, Z are independent random variables" means that X, Y, Z are mutually independent.

https://en.wikipedia.org/wiki/Pairwise independence