Simulations play important and diverse roles in statistical workflows, for example, in model specification, checking, validation, and even directly in model inference. Over the past decades, the application areas and overall potential of simulations in statistical workflows have expanded significantly, driven by the development of new simulation-based algorithms and exponentially increasing computational resources. In this paper, we examine past and current trends in the field and offer perspectives on how simulations may shape the future of statistical practice.

翻译：仿真在统计工作流中扮演着重要且多样化的角色，例如在模型设定、检验、验证乃至模型推断中直接发挥作用。过去几十年来，受基于仿真的新算法发展及指数级增长的计算资源推动，仿真在统计工作流中的应用领域和整体潜力已显著扩展。本文审视了该领域的过去与当前趋势，并就仿真如何塑造统计实践的未来提出展望。