Statistics & Risk Modeling

期刊简介：Statistics & Risk Modeling (STRM) aims to cover modern methods in statistics and probabilistic modeling, with a strong emphasis on machine learning, particularly statistical learning. The journal focuses on applications in finance, insurance, and related fields, addressing key aspects of modeling and risk management.STRM welcomes contributions that explore the uncertainty, risk, and regulation associated with artificial intelligence, as well as stochastic processes and other relevant statistical methods. We are particularly interested in papers that delve into the mathematical foundations of AI, its applications in statistical modeling, and its role in enhancing risk management strategies. While having a high quality reviewing process we promise fast reports, whenever possible.

【译文】统计和风险建模（STRM）旨在涵盖统计和概率建模中的现代方法，重点关注机器学习，特别是统计学习。该期刊专注于金融、保险和相关领域的应用，解决建模和风险管理的关键方面。STRM 欢迎探索与人工智能相关的不确定性、风险和监管以及随机过程和其他相关统计方法的贡献。我们对深入研究人工智能的数学基础、其在统计建模中的应用及其在增强风险管理策略中的作用的论文特别感兴趣。在拥有高质量审核流程的同时，我们承诺尽可能快速提供报告。