Log in to save to my catalogue

ADAPTIVE PIECEWISE POLYNOMIAL ESTIMATION VIA TREND FILTERING

ADAPTIVE PIECEWISE POLYNOMIAL ESTIMATION VIA TREND FILTERING

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_projecteuclid_primary_oai_CULeuclid_euclid_aos_1395234979

ADAPTIVE PIECEWISE POLYNOMIAL ESTIMATION VIA TREND FILTERING

About this item

Full title

ADAPTIVE PIECEWISE POLYNOMIAL ESTIMATION VIA TREND FILTERING

Author / Creator

Publisher

Hayward: Institute of Mathematical Statistics

Journal title

The Annals of statistics, 2014-02, Vol.42 (1), p.285-323

Language

English

Formats

Publication information

Publisher

Hayward: Institute of Mathematical Statistics

More information

Scope and Contents

Contents

We study trend filtering, a recently proposed tool of Kim et al. [SIAM Rev. 51 (2009) 339-360] for nonparametric regression. The trend filtering estimate is defined as the minimizer of a penalized least squares criterion, in which the penalty term sums the absolute kth order discrete derivatives over the input points. Perhaps not surprisingly, tren...

Alternative Titles

Full title

ADAPTIVE PIECEWISE POLYNOMIAL ESTIMATION VIA TREND FILTERING

Authors, Artists and Contributors

Author / Creator

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_projecteuclid_primary_oai_CULeuclid_euclid_aos_1395234979

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_projecteuclid_primary_oai_CULeuclid_euclid_aos_1395234979

Other Identifiers

ISSN

0090-5364

E-ISSN

2168-8966

DOI

10.1214/13-AOS1189

How to access this item