Construct · 1 fields · 1 citations

Dirichlet process: a standalone construct

One name. One construct. A landmark on the map.

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Bayesian statistics

a random probability measure used as a nonparametric prior over distributions, with draws that are discrete and support clustering without fixing the number of groups.

In Bayesian statistics, Dirichlet process refers to a random probability measure used as a nonparametric prior over distributions, with draws that are discrete and support clustering without fixing the number of groups. This meaning comes from Ferguson (1973) in The Annals of Statistics.[1]

Unit
Recovery means
Measured by

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Nearby constructs

measure2 fields · 4 citationsjingle · one word, two constructs number3 fields · 6 citationsjingle · one word, three constructs prior3 fields · 4 citationsjingle · one word, three constructs

References

Ferguson, T. S. (1973). A Bayesian Analysis of Some Nonparametric Problems. The Annals of Statistics, 1(2). https://doi.org/10.1214/aos/1176342360

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