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Simulations in Statistical Workflows

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arxiv 2503.24011 v2 pith:FWPMRWBH submitted 2025-03-31 stat.CO

Paul-Christian Bürkner , Marvin Schmitt , Stefan T. Radev This is my paper · ORCID
classification stat.CO
keywords simulationsstatisticalworkflowsmodelpastalgorithmsapplicationareas
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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.

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