From Probability to Statistics and Back: High Dimensional Models and Processes Conference; Seattle, WA; Summer 2010

从概率到统计再返回：高维模型和过程会议研究人员建议在概率，统计和生物统计以及机器学习的界面上组织一次会议。会议旨在确定这些领域相互作用可能产生的新领域。会议将提供一个公开的论坛，讨论如何为21世纪创造一支继续从事基础研究的劳动力队伍，这是整个社会成功发展的关键因素。会议的主题将汇集在一起，使这次会议具有独特性：经验过程理论，概率论的一个领域;统计学和生物统计学的基本领域，如非参数和半参数模型理论和形状约束估计理论;以及学习理论。会议将促进这些领域最前沿的理论成果的立即传播。

From Probability to Statistics and Back: High-Dimensional Models and Processes Conference The investigator proposes to organize a conference at the interface of probability, statistics and biostatistics, and machine learning. The meeting aims to identify the new frontiers that can emerge from the interaction of these fields. The conference will provide an open forum for discussing strategies for creating a workforce for the 21s century that will continue to do fundamental research, which is a key element for the successful development of the society as a whole.The themes that will be brought together render uniqueness to this conference: empirical processes theory, a field of probability theory; fundamental areas in statistics and biostatistics such as the theory of nonparametric and semiparametric models and the theory of shape-constrained estimation; and learning theory. The meeting will promote immediate dissemination of the most cutting-edge theoretical results in these fields.