Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

A New Method for Specifying the Tuning Parameter of ℓ1 Trend Filtering

A New Method for Specifying the Tuning Parameter of ℓ1 Trend Filtering AbstractBecause Hodrick–Prescott (HP) filtering and ℓ1 trend filtering are expressed as penalized least squares problem, both of them require the specification of their tuning parameter. For HP filtering, we have accumulated knowledge for selecting the value of its tuning parameter. However, we do not have similar knowledge for ℓ1 trend filtering. This paper presents a new method for specifying the tuning parameter of ℓ1 trend filtering so that the sum of squared residuals of HP filtering and that of ℓ1 trend filtering may be equivalent. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Studies in Nonlinear Dynamics & Econometrics de Gruyter

A New Method for Specifying the Tuning Parameter of ℓ1 Trend Filtering

Loading next page...
 
/lp/de-gruyter/a-new-method-for-specifying-the-tuning-parameter-of-1-trend-filtering-ZDQPssN8zk

References

References for this paper are not available at this time. We will be adding them shortly, thank you for your patience.

Publisher
de Gruyter
Copyright
©2018 Walter de Gruyter GmbH, Berlin/Boston
ISSN
1558-3708
eISSN
1558-3708
DOI
10.1515/snde-2016-0073
Publisher site
See Article on Publisher Site

Abstract

AbstractBecause Hodrick–Prescott (HP) filtering and ℓ1 trend filtering are expressed as penalized least squares problem, both of them require the specification of their tuning parameter. For HP filtering, we have accumulated knowledge for selecting the value of its tuning parameter. However, we do not have similar knowledge for ℓ1 trend filtering. This paper presents a new method for specifying the tuning parameter of ℓ1 trend filtering so that the sum of squared residuals of HP filtering and that of ℓ1 trend filtering may be equivalent.

Journal

Studies in Nonlinear Dynamics & Econometricsde Gruyter

Published: Sep 25, 2018

References