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 this proposal is to organize a workshop on the frontiers of statistics that involve large and complex data. The conference will focus on data-analytic nonparametric techniques in diverse fields of disciplines such as computational biology, financial econometrics, machine learning, and industrial engineering. It will also include various topics on statistical theory and methods. A distinguished feature of the conference is that it addresses emerging statistical problems that arise from various frontiers of science. It will be very helpful for shaping the future directions of statistical research.
The purpose of this proposal is to bring together top and junior researchers to define and expand these research frontiers of statistics. The workshop provides a focal venue for top and junior researchers to gather, interact and present their new research findings, to discuss and outline emerging problems in their fields, and to lay the groundwork for fruitful future collaborations. Moreover, it will provide an overview for graduate students who are interested in seeking for an interesting area to work. The workshop focuses on various nonparametric statistical problems from various frontiers of science and engineering such as computational biology, financial econometrics, machine learning, and industrial engineering. It will be very helpful for shaping the future directions of statistical research that addresses problems of high societal impact.
