Workshop on Frontiers of Statistics: Nonparametric Modeling of Complex Data

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Prop ID: DMS-0531839 PI: Fan, Jianqing Institution: Princeton University Title: Workshop on Frontiers of Statistics: Nonparametric Modeling of Complex Data This is an extremely well conceived worshop that will bring together some of the The frontiers of statistics are dynamic and vibrant. The aim of thisproposal is to organize a workshop on the frontiers of statistics thatinvolve large and complex data. The conference will focus on data-analyticnonparametric techniques in diverse fields of disciplines such ascomputational biology, financial econometrics, machine learning, andindustrial engineering. It will also include various topics onstatistical theory and methods. A distinguished feature of the conferenceis that it addresses emerging statistical problems that arise from variousfrontiers of science. It will be very helpful for shaping the futuredirections of statistical research.The purpose of this proposal is to bring together top and juniorresearchers to define and expand these research frontiers of statistics.The workshop provides a focal venue for top and junior researchers togather, interact and present their new research findings, to discuss andoutline emerging problems in their fields, and to lay the groundwork forfruitful future collaborations. Moreover, it will provide an overview forgraduate students who are interested in seeking for an interesting area towork. The workshop focuses on various nonparametric statistical problemsfrom various frontiers of science and engineering such as computationalbiology, financial econometrics, machine learning, and industrialengineering. It will be very helpful for shaping the future directions ofstatistical research that addresses problems of high societal impact.