Commentary on “Transparent modelling of influenza incidence”: The need to justify complexity

Author:

Goodwin Paul

Publisher

Elsevier BV

Subject

Business and International Management

Reference9 articles.

1. Algorithm aversion: People erroneously avoid algorithms after seeing them err;Dietvorst;Journal of Experimental Psychology: General,2015

2. High on complexity, low on evidence: Are advanced forecasting methods always as good as they seem?;Goodwin;Foresight: The International Journal of Applied Forecasting,2011

3. A note on upper bounds for forecast-value-added relative to naïve forecasts;Goodwin;Journal of the Operational Research Society,2017

4. Simple versus complex forecasting: The evidence;Green;Journal of Business Research,2015

5. Integrating neuro-fuzzy system and evolutionary optimization algorithms for short-term power generation forecasting;Rezaee;International Journal of Energy Sector Management,2019

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1. Forecaster evaluation as model comparison.;Decision;2024-05-16

2. A simple model for mixing intuition and analysis;European Journal of Operational Research;2022-12

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