Exploring the sources of uncertainty: Why does bagging for time series forecasting work?-Reference-Cited by-同舟云学术

Exploring the sources of uncertainty: Why does bagging for time series forecasting work?

Published:2018-07 Issue:2 Volume:268 Page:545-554
ISSN:0377-2217
Container-title:European Journal of Operational Research
language:en
Short-container-title:European Journal of Operational Research

Author:

Petropoulos Fotios^ORCID,Hyndman Rob J.,Bergmeir Christoph

Publisher

Elsevier BV

Subject

Information Systems and Management,Management Science and Operations Research,Modeling and Simulation,General Computer Science,Industrial and Manufacturing Engineering

Reference30 articles.

1. Outpatient appointment systems in healthcare: A review of optimization studies;Ahmadi-Javid;European Journal of Operational Research,2017

2. Bagging exponential smoothing methods using STL decomposition and Box-Cox transformation;Bergmeir;International Journal of Forecasting,2016

3. An analysis of transformations;Box;Journal of the Royal Statistical Society, Series B,1964

4. Empirical model-building and response surfaces;Box,1987

5. Bagging predictors;Breiman;Machine Learning,1996

Cited by 98 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Minimization of Forecast Variance Using an Example of ETS Models;Journal of Communications Technology and Electronics;2024-09-11

2. Forecasting seasonally fluctuating sales of perishable products in the horticultural industry;Expert Systems with Applications;2024-09

3. Energy efficiency trends in Saudi Arabian commercial aviation before and after COVID-19;Transportation Research Interdisciplinary Perspectives;2024-07

4. A Proposal for a Fusion of an Ensemble with Error Correction Model Applied to Automotive Time Series;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

5. Analysis of approaches to identification of trend in the structure of the time series;Russian Technological Journal;2024-05-31