Innovation and Inventiveness in Statistical Methodologies

统计学领域继续为科学、医学和工业的许多分支做出深刻的贡献。在快速发展的信息时代，我们可以获得大量的数据来研究复杂的现象。这给统计人员带来了挑战和机遇，需要创新和创造性的统计方法。虽然已经对高维复杂数据进行了一些研究，但该领域仍在不断发展，提供了大量有前途的研究课题。现在是发展深入，广泛和正式的统计理论和方法的关键时刻;我们的领域能够成长并为整个社会做出有影响力的，宝贵的贡献。这次研讨会将汇集该领域一些最杰出的研究人员。他们将回顾我们学科相对较短的历史中最重要和最有影响力的统计进展，同时拥抱这个行业现在和未来的挑战和机遇。该研讨会将为有前途的年轻研究人员提供一个场所，与该领域的领导者互动，展示他们的新研究，产生新的想法，并导致未来的合作和发现。 该研讨会强调基本统计理论与创新和创造性研究之间的平衡，涉及生物信息学，生物学，金融，图像分析，稀疏信号分析和基因组学等领域。耶鲁大学是举行这种会议的理想场所。耶鲁大学统计系不仅因其理论工作受到应用的强烈推动而广为人知，而且与耶鲁大学生物、医学、物理和社会科学系密切相关。这些团体的大量出席得到保证，从而保证了在讲习班的科学会议和其他不太正式的讨论期间进行重要的互动。NSF赠款主要用于获得年轻的研究人员和研究生，特别是少数民族和代表性不足的群体。我们将在IMS公告和AMStat新闻上做广告，并向美国大学的相关部门发送传单和电子邮件，以接触初级教师和研究生。

The field of statistics continues to offer profound contributions to many branches of science, medicine, and industry. In the rapidly-evolving information age, we have access to overwhelming quantities of data for the study of complex phenomena. This creates both challenges and opportunities for statisticians, and demands innovative and inventive statistical methodologies. Although some research has been done on high-dimensional, complex data, the field continues to evolve, offering a plethora of promising research topics. Now is a critical time for the development of deep, broad, and formal statistical theory and methodology; our field is in a position to grow and make influential, invaluable contributions to society at large. This workshop will bring together some of the most prominent researchers in the field. They will review the most important and influential statistical advances in the comparatively short history of our discipline while embracing the present and future challenges and opportunities for the profession. The workshop will provide a venue for promising young researchers to interact with these leaders of the field and each other, presenting their new research, generating fresh ideas and leading to future collaborations and discoveries. This workshop emphasizes the balance between fundamental statistical theory and innovative and inventive research that reaches out to areas like bioinformatics, biology, finance, image analysis, analysis of sparse signals and genomics. Yale is an ideal venue for a meeting of this type. Not only is the Yale Department of Statistics widely known for theoretical work strongly motivated by applications, it is closely linked to Yale departments in the biological, medical, physical and social sciences. Significant attendance from these groups is assured, guaranteeing important interactions during both the workshop's scientific meetings and other, less formal discussions. The NSF grant is primarily used for getting young researchers and graduate students, in particular minorities and under-represented groups. We will advertise in IMS bulletin and AMStat News and send fliers and emails to related departments of US universities to reach junior faculty and graduate students.