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ANTI-CONCENTRATION AND HONEST, ADAPTIVE CONFIDENCE BANDS

ANTI-CONCENTRATION AND HONEST, ADAPTIVE CONFIDENCE BANDS

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_projecteuclid_primary_oai_CULeuclid_euclid_aos_1410440625

ANTI-CONCENTRATION AND HONEST, ADAPTIVE CONFIDENCE BANDS

About this item

Full title

ANTI-CONCENTRATION AND HONEST, ADAPTIVE CONFIDENCE BANDS

Publisher

Hayward: Institute of Mathematical Statistics

Journal title

The Annals of statistics, 2014-10, Vol.42 (5), p.1787-1818

Language

English

Formats

Publication information

Publisher

Hayward: Institute of Mathematical Statistics

More information

Scope and Contents

Contents

Modern construction of uniform confidence bands for nonparametric densities (and other functions) often relies on the classical Smirnov-Bickel-Rosenblatt (SBR) condition; see, for example, Giné and Nickl [Probab. Theory Related Fields 143 (2009) 569-596]. This condition requires the existence of a limit distribution of an extreme value type for the...

Alternative Titles

Full title

ANTI-CONCENTRATION AND HONEST, ADAPTIVE CONFIDENCE BANDS

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_projecteuclid_primary_oai_CULeuclid_euclid_aos_1410440625

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_projecteuclid_primary_oai_CULeuclid_euclid_aos_1410440625

Other Identifiers

ISSN

0090-5364

E-ISSN

2168-8966

DOI

10.1214/14-AOS1235

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