Why the “best” point forecast depends on the error or accuracy measure

By Stephan Kolassa. 2020

83 citations recorded by the source corpus.

Subfields: Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/33fb6ec48780bbf85d2396ce58583baa57d28f0f

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Management Science and Operations Research

1. Fotios Petropoulos
2. Rob J Hyndman
3. Konstantinos Nikolopoulos
4. Nikolaos Kourentzes
5. Vassilios Assimakopoulos
6. Spyros Makridakis
7. Evangelos Spiliotis
8. Christoph Bergmeir

In Statistics and Probability

1. Konstantinos Nikolopoulos
2. Vassilios Assimakopoulos
3. Nikolaos Kourentzes
4. Fotios Petropoulos
5. Evangelos Spiliotis
6. Spyros Makridakis
7. Christoph Bergmeir
8. Stephan Kolassa

Citations in the corpus

• Forecasting: theory and practice (2020, methodology): “The key observation is that different PFEMs will be minimised by different point forecasts derived from the same density forecast (Kolassa, 2020b).”