📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Automatic locally stationary time series forecasting with application to predicting UK gross value added time series (2024)

First Author: Killick R

Attributed to: Locally stationary Energy Time Series (LETS) funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1093/jrsssc/qlae043

Publication URI: http://dx.doi.org/10.1093/jrsssc/qlae043

Type: Journal Article/Review

Parent Publication: Journal of the Royal Statistical Society Series C: Applied Statistics