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Uniform in Bandwidth Consistency of Kernel-Type Function Estimators

Uniform in Bandwidth Consistency of Kernel-Type Function Estimators

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_projecteuclid_primary_oai_CULeuclid_euclid_aos_1120224106

Uniform in Bandwidth Consistency of Kernel-Type Function Estimators

About this item

Full title

Uniform in Bandwidth Consistency of Kernel-Type Function Estimators

Author / Creator

Publisher

Institute of Mathematical Statistics

Journal title

The Annals of statistics, 2005-06, Vol.33 (3), p.1380-1403

Language

English

Formats

Publication information

Publisher

Institute of Mathematical Statistics

More information

Scope and Contents

Contents

We introduce a general method to prove uniform in bandwidth consistency of kernel-type function estimators. Examples include the kernel density estimator, the Nadaraya-Watson regression estimator and the conditional empirical process. Our results may be useful to establish uniform consistency of data-driven bandwidth kernel-type function estimators...

Alternative Titles

Full title

Uniform in Bandwidth Consistency of Kernel-Type Function Estimators

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_projecteuclid_primary_oai_CULeuclid_euclid_aos_1120224106

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_projecteuclid_primary_oai_CULeuclid_euclid_aos_1120224106

Other Identifiers

ISSN

0090-5364

E-ISSN

2168-8966

DOI

10.1214/009053605000000129

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