Forecasting: theory and practice.

Fotios Petropoulos Daniele Apiletti Vassilios Assimakopoulos Mohamed Zied Babai Devon K. Barrow Souhaib Ben Taieb Christoph Bergmeir Ricardo J. Bessa Jakub Bijak John E. Boylan Jethro Browell Claudio Carnevale Jennifer L. Castle Pasquale Cirillo Michael P. Clements Clara Cordeiro Fernando Luiz Cyrino Oliveira Shari De Baets Alexander Dokumentov Joanne Ellison Piotr Fiszeder Philip Hans Franses David T. Frazier Michael Gilliland Mustafa Sinan Gönül Paul Goodwin Luigi Grossi Yael Grushka-Cockayne Mariangela Guidolin Massimo Guidolin Ulrich Gunter Xiaojia Guo Renato Guseo Nigel Harvey David F. Hendry Ross Hollyman Tim Januschowski Jooyoung Jeon Victor Richmond R. Jose Yanfei Kang Anne B. Koehler Stephan Kolassa Nikolaos Kourentzes Sonia Leva Feng Li

Published in: CoRR (2020)

Keyphrases

short term
theoretical framework
computational model
theoretical basis
general theory
neural network
theoretical insights
data sets
databases
computer vision
bayesian networks
long term
information theory
decision theory
learning sciences
grey theory