Model Complexity and Accuracy: A COVID-19 Case Study

DOI10.1287/deca.2022.0457OpenAlexW4286489714MaRDI QIDQ5872423

J. Eric Bickel, Colin Small

Publication date: 30 January 2023

Published in: Decision Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1287/deca.2022.0457

zbMATH Keywords

modelingcalibrationforecastingexpert elicitationCOVID-19

Mathematics Subject Classification ID

Game theory, economics, finance, and other social and behavioral sciences (91-XX)

Uses Software

• ElemStatLearn
• GitHub

Cites Work

• Unnamed Item
• A statistical perspective on ill-posed inverse problems (with discussion)
• Compartmental Models in Epidemiology
• Population forecasting: Do simple models outperform complex models?
• Simple versus complex models: Evaluation, accuracy, and combining

This page was built for publication: Model Complexity and Accuracy: A COVID-19 Case Study