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.
