In statistics, sieve estimators are a class of non-parametric estimators which use progressively more complex models to estimate an unknown high-dimensional function as more data becomes available, with the aim of asymptotically reducing error towards zero as the amount of data increases. This method is generally attributed to Ulf Grenander.
Attributes | Values |
---|---|
rdfs:label |
|
rdfs:comment |
|
dcterms:subject | |
Wikipage page ID |
|
Wikipage revision ID |
|
Link from a Wikipage to another Wikipage | |
Link from a Wikipage to an external page |
|
sameAs | |
dbp:wikiPageUsesTemplate | |
has abstract |
|
gold:hypernym | |
prov:wasDerivedFrom | |
page length (characters) of wiki page |
|
foaf:isPrimaryTopicOf | |
is Link from a Wikipage to another Wikipage of | |
is Wikipage redirect of | |
is Wikipage disambiguates of | |
is known for of | |
is known for of | |
is foaf:primaryTopic of |