This project provides funds to partially support a research conference focusing on several related important topics in nonparametric inference and probability, with applications to science. The conference is planned to be held in Ann Arbor at the University of Michigan, September 10-11, 2005. It will highlight challenges and developments in biased sampling and missing data, shape-restricted inference, contemporary sequential analysis, and modern nonparametric inference, probability, and statistics in biology and physical sciences.
Statistical inference, the science of learning from data, has always had an interdisciplinary focus, and as statistics and related areas of application evolve and move forward, there is an ongoing need to share developments and new ideas across related disciplines. This conference at the interface of statistics and the sciences will promote this transfer of knowledge allowing researchers in these related fields to share ideas and learn from one another. The conference will also have broader impacts, allowing young and leading researchers to interact and exchange ideas, promoting collaboration, broadening the scope of applications, and contributing to further developments in these areas.
