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Qu'est-ce (qui) est variation estimation - définition

CONSTRUCTION OF AN ESTIMATE, BASED ON OBSERVED DATA, OF AN UNOBSERVABLE UNDERLYING PROBABILITY DENSITY FUNCTION

Density Estimation; Probability estimation; Probability density estimation

variation

WIKIMEDIA DISAMBIGUATION PAGE

Variations; Varied; Varying; Variation (disambiguation); Viccitude; Variations (album); Variation (combinatorics); Variations (Combinatorics); Variation (Combinatorics)

¦ noun

1. a change or slight difference in condition, amount, or level.

(also magnetic variation) the angular difference between true north and magnetic north at a particular place.

2. a different or distinct form or version.

Music a new but still recognizable version of a theme.

Ballet a solo dance as part of a performance.

Derivatives

variational adjective

varied

WIKIMEDIA DISAMBIGUATION PAGE

Variations; Varied; Varying; Variation (disambiguation); Viccitude; Variations (album); Variation (combinatorics); Variations (Combinatorics); Variation (Combinatorics)

¦ adjective incorporating a number of different types or elements; showing variation or variety.

Derivatives

variedly adverb

variation

WIKIMEDIA DISAMBIGUATION PAGE

Variations; Varied; Varying; Variation (disambiguation); Viccitude; Variations (album); Variation (combinatorics); Variations (Combinatorics); Variation (Combinatorics)

(variations)

1.

A variation on something is the same thing presented in a slightly different form.

This delicious variation on an omelette is quick and easy to prepare...

N-COUNT: usu N on n

2.

A variation is a change or slight difference in a level, amount, or quantity.

The survey found a wide variation in the prices charged for canteen food...

Every day without variation my grandfather ate a plate of cold ham.

N-VAR

Wikipédia

Density estimation

In statistics, probability density estimation or simply density estimation is the construction of an estimate, based on observed data, of an unobservable underlying probability density function. The unobservable density function is thought of as the density according to which a large population is distributed; the data are usually thought of as a random sample from that population.

A variety of approaches to density estimation are used, including Parzen windows and a range of data clustering techniques, including vector quantization. The most basic form of density estimation is a rescaled histogram.

https://en.wikipedia.org/wiki/Density estimation