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Bayesian Analysis (2004) 1, Number 1 A Dynamic Modelling Strategy for Bayesian Computer Model Emulation FEI Liu University of Missouri Mike West Duke University Abstract. Computer model evaluation

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What is a dynamic modelling strategy?

A dynamic modelling strategy is a methodology used to analyze and predict the behavior of complex systems over time, taking into account various factors and variables that can impact the system's performance.

Who is required to file a dynamic modelling strategy?

The requirement to file a dynamic modelling strategy typically applies to organizations or individuals involved in industries or sectors where understanding and predicting the behavior of complex systems is crucial, such as in finance, manufacturing, or logistics.

How to fill out a dynamic modelling strategy?

Filling out a dynamic modelling strategy involves assessing the relevant system or processes, identifying key variables and factors, defining mathematical or computational models, collecting and analyzing data, and using appropriate software or tools for simulation and prediction.

What is the purpose of a dynamic modelling strategy?

The purpose of a dynamic modelling strategy is to improve decision-making, optimize system performance, and mitigate risks by providing insights into how a complex system may respond to various scenarios or changes in input variables.

What information must be reported on a dynamic modelling strategy?

The information reported on a dynamic modelling strategy typically includes the description of the system being modeled, details of the mathematical or computational models used, assumptions made, input variables and their ranges, simulation results, and analysis of the results.

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