EconPapers    
Economics at your fingertips  
 

GENERALIZED EXPONENTIAL SMOOTHING IN PREDICTION OF HIERARCHICAL TIME SERIES

Daniel Kosiorowski, Dominik Mielczarek (), Jerzy P. Rydlewski () and Małgorzata Snarska ()
Additional contact information
Daniel Kosiorowski: Department of Statistics, Cracow University of Economics
Dominik Mielczarek: AGH University of Science and Technology, Faculty of Applied Mathematics
Jerzy P. Rydlewski: AGH University of Science and Technology, Faculty of Applied Mathematics
Małgorzata Snarska: Department of Financial Markets, Cracow University of Economics

Statistics in Transition New Series, 2018, vol. 19, issue 2, 331-350

Abstract: Shang and Hyndman (2017) proposed a grouped functional time series forecasting approach as a combination of individual forecasts obtained using...

Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.exeley.com/exeley/journals/statistics_ ... attrans-2018-019.pdf (application/pdf)
https://www.exeley.com/statistics_in_transition/doi/10.21307/stattrans-2018-019 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:exl:29stat:v:19:y:2018:i:2:p:331-350

DOI: 10.21307/stattrans-2018-019

Access Statistics for this article

More articles in Statistics in Transition New Series from Polish Statistical Association
Bibliographic data for series maintained by MPS Ltd. ().

 
Page updated 2025-03-19
Handle: RePEc:exl:29stat:v:19:y:2018:i:2:p:331-350