at the
American Institute of Mathematics, Palo Alto, California
organized by
Peter Bickel, Christopher Jones, Helene Massam, and Don Richards
Co-sponsored by SAMSI
This workshop, sponsored by AIM and the NSF, concerns issues arising in high-dimensional inference that can be served by recent developments in random matrix theory. This follows on from an intensive program held at SAMSI during this past academic year. This workshop at AIM will serve to sum up the program and set an agenda for future research in this area. We intend to have presentations by members of each of working groups from the SAMSI program. Each of these presentations will be followed by a discussion session in which open problems and future directions will be discussed. This will enable us to achieve our goal of, on the one hand, understanding clearly what has been achieved in each sub-area and seeing what interdisciplinary endeavors have been initiated and, on the other, setting an agenda for future work in this area.
The workshop will differ from typical conferences in some regards. Participants will be invited to suggest open problems and questions before the workshop begins, and these will be posted on the workshop website. These include specific problems on which there is hope of making some progress during the workshop, as well as more ambitious problems which may influence the future activity of the field. Lectures at the workshop will be focused on familiarizing the participants with the background material leading up to specific problems, and the schedule will include discussion and parallel working sessions.
The deadline to apply for support to participate in this workshop has passed.
For more information email workshops@aimath.org
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