Fifth Workshop on Higher-Order Asymptotics and Post-Selection Inference; June 21-23, 2020; St. Louis, Missouri

第五届高阶渐近学和后选择推理研讨会；

• 批准号: 1954046
• 负责人: Todd Kuffner
• 金额: $ 1.5万
• 依托单位: Washington University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-03-01 至 2022-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1954046&HistoricalAwards=false
• 关键词: Fifth; Workshop; Higher; Order; Asymptotics

This award supports participation of graduate students, postdocs and other early-career researchers in the Fifth Workshop on Higher-Order Asymptotics and Post-Selection Inference (WHOA-PSI), to take place June 21 through June 23, 2020 at Washington University in St. Louis. The goals of the workshop include (i) to provide a forum to disseminate and discuss the most recent advances in inference after model selection or dimension reduction; (ii) to promote collaboration between theoretical, methodological and applied researchers; and (iii) to advertise applications for which new post-selection inference methods are needed. The workshop features more than 30 invited talks and 2 poster sessions, representing a large number of research groups who work in relevant fields from all over the world. New areas of substantial activity within the past year include causal inference, the feasibility of selective inference after machine learning methods have been employed, and Bayesian post-selection inference. Post-selection inference in linear models remains a very active research area, with no consensus yet reached regarding what should be the targets of inference, which errors to control, what sort of conditioning should be used, and how to combine statistical principles such as decision-theoretic optimality, Fisherian relevance, robustness, and Neyman-Pearson approaches to testing. Our understanding of when and how appropriate bootstrap methods can be developed in the context of post-selection inference and high-dimensional inference continues to evolve. This workshop provides an opportunity for further discussion and progress on these important issues. It will also increase awareness of applied problems in need of new inference tools. The website for this workshop is https://www.math.wustl.edu/~kuffner/WHOA-PSI-5.html.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该奖项支持研究生，博士后和其他早期职业研究人员参加第五次关于高阶渐近技术和选择后推论（WHOA-PSI）的研讨会，于2020年6月21日至2020年6月23日在圣路易斯的华盛顿大学举行。研讨会的目标包括（i）提供一个论坛来传播和讨论模型选择或降低尺寸后推理的最新进展； （ii）促进理论，方法论和应用研究人员之间的合作； （iii）宣传需要新的选择后推理方法的应用程序。该研讨会举办了30多次邀请的演讲和2次海报会议，代表了许多在世界各地相关领域工作的研究小组。 过去一年内的实质性活动的新领域包括因果推断，采用机器学习方法后选择性推断的可行性以及贝叶斯选择后推断。线性模型中的选择后推断仍然是一个非常活跃的研究领域，尚未达成共识，即应该是什么应该是推理的目标，哪些错误控制，应该使用哪种条件，以及如何结合统计学原理，例如决策理论优化，费舍里亚人的相关性，鲁棒性，鲁棒性，Neyman-Pearson进行测试。我们对何时以及如何在选择后推断和高维推理的背景下开发适当的引导方法的理解继续发展。该研讨会为这些重要问题提供了进一步讨论和进展的机会。它还将提高需要新推理工具的应用问题的认识。该研讨会的网站是https://www.math.wustl.edu/~kuffner/whoa-psi-5.html.html.th.html.this Award反映了NSF的法定任务，并被认为是值得通过基金会的知识分子优点和更广泛影响的审查标准来通过评估来通过评估来支持的。