[KSIĄŻKA][B] Towards Bayesian model-based demography: Agency, complexity and uncertainty in migration studies

J Bijak - 2022 - library.oapen.org
This open access book presents a ground-breaking approach to develo** micro-
foundations for demography and migration studies. It offers a unique and novel methodology …

Towards real-time predictions using emulators of agent-based models

M Kieu, H Nguyen, JA Ward, N Malleson - Journal of Simulation, 2024 - Taylor & Francis
ABSTRACT The use of Agent-Based Models (ABMs) to make predictions in real-time is
hindered by their high computation cost and the lack of detailed individual data. This paper …

Agent-based models under uncertainty

V Stepanov, S Ferson - F1000Research, 2024 - pmc.ncbi.nlm.nih.gov
Background Monte Carlo (MC) is often used when trying to assess the consequences of
uncertainty in agent-based models (ABMs). However, this approach is not appropriate when …

Uncertainty quantification, model calibration and sensitivity

J Bijak, J Bijak, J Hilton - … : Agency, Complexity and Uncertainty in Migration …, 2022 - Springer
Better understanding of the behaviour of agent-based models, aimed at embedding them in
the broader, model-based line of scientific enquiry, requires a comprehensive framework for …

[PDF][PDF] Agent-based models under uncertainty [version 1; peer

V Stepanov, S Ferson - 2023 - academia.edu
Abstract Background: Monte Carlo (MC) is often used when trying to assess the
consequences of uncertainty in agent-based models (ABMs). However, this approach is not …

Towards Bayesian Model-Based Demography

PA Higham, J Hilton, M Hinsch, S Nurse, T Prike… - Springer
Towards Bayesian Model-Based Demography Page 1 Methodos Series 17 Towards Bayesian
Model-Based Demography Jakub Bijak Agency, Complexity and Uncertainty in Migration …