Statistical analysis of agent-based models

Hilton, Jason and Bijak, Jakub (2021) Statistical analysis of agent-based models. [Video]

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Abstract

In the video, Dr Jason Hilton and Professor Jakub Bijak introduce the basic concepts related to the design of experiments used to help understand the behaviour of complex computational models, such as agent-based models. They look at the relations between inputs and outputs of models, types of experimental design, and methods of analysing the results of simulation experiments. This video also explores the statistical emulators – or metamodels – and methods for uncertainty and sensitivity analysis.

Item Type: Video
Subjects: 1. Frameworks for Research and Research Designs > 1.9 Experimental Research
1. Frameworks for Research and Research Designs > 1.9 Experimental Research > 1.9.1 Experimental design
5. Quantitative Data Handling and Data Analysis > 5.2 Statistical Theory and Methods of Inference
5. Quantitative Data Handling and Data Analysis > 5.2 Statistical Theory and Methods of Inference > 5.2.5 Bayesian methods
5. Quantitative Data Handling and Data Analysis > 5.5 Regression Methods > 5.5.1 Ordinary least squares (OLS)
5. Quantitative Data Handling and Data Analysis > 5.13 Simulation
5. Quantitative Data Handling and Data Analysis > 5.13 Simulation > 5.13.1 Agent-based modelling
8. Research Management and Impact > 8.3 Research Ethics
Depositing User: NCRM users
Date Deposited: 23 Jan 2022 21:12
Last Modified: 23 Jan 2022 21:12
URI: https://eprints.ncrm.ac.uk/id/eprint/4516

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