Recent Developing a Novel Parameter Estimation Method for an Agent-Based Model in Immune System Simulation Using History Matching: A Case Study on Influenza a Virus Infection

Agent-based models (ABM) have been widely employed for immune system simulation because they may provide a natural and flexible description of nonlinear dynamic behaviour of complex systems. However, including experimental data into ABM is critical for obtaining an adequate estimation

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