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Statistical and Machine Learning forecasting methods: Concerns and ways forward
Spyros Makridakis
, Evangelos Spiliotis
, Vassilios Assimakopoulos
Director Institute For the Future (IFF)
National Technical University of Athens
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Keyphrases
Machine Learning Techniques
100%
Statistical Learning
100%
Forecast Horizon
100%
Forecasting Techniques
100%
Machine Learning Prediction
100%
Computational Requirements
100%
Popular
50%
Statistical Methods
50%
Largest Subset
50%
Open Competition
50%
Relative Performance
50%
Academic Literature
50%
Time Series Forecasting
50%
Monthly Time Series
50%
Machine Learning Models
50%
Sampling Accuracy
50%
Research Stress
50%
Accuracy Requirements
50%
Accuracy Measure
50%
M3-Competition
50%
Psychology
Statistical Method
100%
Learning Model
100%
Time Series Forecasting
100%
Economics, Econometrics and Finance
Machine Learning
100%
Time Series
50%
Statistical Method
25%