Statistical Challenges in Agent-Based Modeling

Journal Article (Journal Article)

Agent-based models (ABMs) are popular in many research communities, but few statisticians have contributed to their theoretical development. They are models like any other models we study, but in general, we are still learning how to fit ABMs to data and how to make quantified statements of uncertainty about the outputs of an ABM. ABM validation is also an underdeveloped area that is ripe for new statistical developments. In what follows, we lay out the research space and encourage statisticians to address the many research issues in the ABM ambit.

Full Text

Duke Authors

Cited Authors

  • Banks, DL; Hooten, MB

Published Date

  • January 1, 2021

Published In

Volume / Issue

  • 75 / 3

Start / End Page

  • 235 - 242

Electronic International Standard Serial Number (EISSN)

  • 1537-2731

International Standard Serial Number (ISSN)

  • 0003-1305

Digital Object Identifier (DOI)

  • 10.1080/00031305.2021.1900914

Citation Source

  • Scopus