Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-24480
Publication type: Article in scientific journal
Type of review: Peer review (publication)
Title: Forecasting : theory and practice
Authors: Petropoulos, Fotios
Apiletti, Daniele
Assimakopoulos, Vassilios
Babai, Mohamed Zied
Barrow, Devon K.
Ben Taieb, Souhaib
Bergmeir, Christoph
Bessa, Ricardo J.
Bijak, Jakub
Boylan, John E.
Browell, Jethro
Carnevale, Claudio
Castle, Jennifer L.
Cirillo, Pasquale
Clements, Michael P.
Cordeiro, Clara
Cyrino Oliveira, Fernando Luiz
De Baets, Shari
Dokumentov, Alexander
Ellison, Joanne
Fiszeder, Piotr
Franses, Philip Hans
Frazier, David T.
Gilliland, Michael
Gönül, M. Sinan
Goodwin, Paul
Grossi, Luigi
Grushka-Cockayne, Yael
Guidolin, Mariangela
Guidolin, Massimo
Gunter, Ulrich
Guo, Xiaojia
Guseo, Renato
Harvey, Nigel
Hendry, David F.
Hollyman, Ross
Januschowski, Tim
Jeon, Jooyoung
Jose, Victor Richmond R.
Kang, Yanfei
Koehler, Anne B.
Kolassa, Stephan
Kourentzes, Nikolaos
Leva, Sonia
Li, Feng
Litsiou, Konstantia
Makridakis, Spyros
Martin, Gael M.
Martinez, Andrew B.
Meeran, Sheik
Modis, Theodore
Nikolopoulos, Konstantinos
Önkal, Dilek
Paccagnini, Alessia
Panagiotelis, Anastasios
Panapakidis, Ioannis
Pavía, Jose M.
Pedio, Manuela
Pedregal, Diego J.
Pinson, Pierre
Ramos, Patrícia
Rapach, David E.
Reade, J. James
Rostami-Tabar, Bahman
Rubaszek, Michał
Sermpinis, Georgios
Shang, Han Lin
Spiliotis, Evangelos
Syntetos, Aris A.
Talagala, Priyanga Dilini
Talagala, Thiyanga S.
Tashman, Len
Thomakos, Dimitrios
Thorarinsdottir, Thordis
Todini, Ezio
Trapero Arenas, Juan Ramón
Wang, Xiaoqian
Winkler, Robert L.
Yusupova, Alisa
Ziel, Florian
et. al: No
DOI: 10.1016/j.ijforecast.2021.11.001
10.21256/zhaw-24480
Published in: International Journal of Forecasting
Volume(Issue): 38
Issue: 3
Page(s): 705
Pages to: 871
Issue Date: 2022
Publisher / Ed. Institution: Elsevier
ISSN: 0169-2070
1872-8200
Language: English
Subjects: Application; Encyclopedia; Method; Prediction; Principle; Time series
Subject (DDC): 003: Systems
Abstract: Forecasting has always been at the forefront of decision making and planning. The uncertainty that surrounds the future is both exciting and challenging, with individuals and organisations seeking to minimise risks and maximise utilities. The large number of forecasting applications calls for a diverse set of forecasting methods to tackle real-life challenges. This article provides a non-systematic review of the theory and the practice of forecasting. We provide an overview of a wide range of theoretical, state-of-the-art models, methods, principles, and approaches to prepare, produce, organise, and evaluate forecasts. We then demonstrate how such theoretical concepts are applied in a variety of real-life contexts. We do not claim that this review is an exhaustive list of methods and applications. However, we wish that our encyclopedic presentation will offer a point of reference for the rich work that has been undertaken over the last decades, with some key insights for the future of forecasting theory and practice. Given its encyclopedic nature, the intended mode of reading is non-linear. We offer cross-references to allow the readers to navigate through the various topics. We complement the theoretical concepts and applications covered by large lists of free or open-source software implementations and publicly-available databases.
URI: https://digitalcollection.zhaw.ch/handle/11475/24480
Fulltext version: Published version
License (according to publishing contract): CC BY 4.0: Attribution 4.0 International
Departement: School of Management and Law
Organisational Unit: Institute of Business Information Technology (IWI)
Appears in collections:Publikationen School of Management and Law

Files in This Item:
File Description SizeFormat 
2022_Petropoulos-etal_Forecasting-theory-and-practice.pdf6.94 MBAdobe PDFThumbnail
View/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.