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Forecasting: theory and practice

📅 Published: January 1, 2022 👤 Fotios Petropoulos 📖 BOA (University of Milano-Bicocca) 📊 822 citations
AI-Generated Summary

Forecasting has always been at the forefront of decision making and planning. We offer cross-references to allow the readers to navigate through the various topics.

⚡ This is an original paraphrased summary — not copied from the abstract. Full paper available at the source link below.

Key Findings
  • 1 The uncertainty that surrounds the future is both exciting and challenging, with individuals and organisations seeking to minimise risks and maximise utilities.
  • 2 The large number of forecasting applications calls for a diverse set of forecasting methods to tackle real-life challenges.
  • 3 This article provides a non-systematic review of the theory and the practice of forecasting.
Why It Matters

This research advances how AI systems learn, reason, and solve problems — with direct implications for automation and scientific discovery.

This summary is based on publicly available metadata and abstract. For the full research paper, visit the original source:

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Article Details
Source OpenAlex
Category 🤖 Artificial Intelligence
Published Jan 1, 2022
Journal BOA (University of Milano-Bicocca)
DOI 10.1016/j.ijforecast.2021.11.001
Citations 822
Authors Fotios Petropoulos