Overview Researchers in many disciplines face the formidable task of analyzing massive amounts of high-dimensional and highly-structured data. This is due in part to recent advances in data collection and computing technologies. As a result, fundamental statistical research is being undertaken in a variety of different fields. Driven by the complexity of these new problems, and fueled by the explosion of available computer power, highly adaptive, non-linear procedures are now essential components of modern "data analysis," a term that we liberally interpret to include speech and pattern recognition, classification, data compression and signal processing. The development of new, flexible methods combines advances from many sources, including approximation theory, numerical analysis, machine learning, signal processing and statistics. The proposed workshop intends to bring together eminent experts from these fields in order to exchange ideas and forge directions for the future. It also intends to introduce the research topics to graduate students by providing travel support and by requiring the last speaker of each session to give an overview of the field. A Brief Survey of the Area Three ingredients are common to the new class of non-linear methods:
- Approximation spaces (wavelets, splines, neural networks, trees) or other simple probabilistic structures as building blocks for representations of statistical objects;
- Algorithms for identifying the "best" representation or combining several "promising" candidates; and
- Statistical frameworks to judge between competing representations.
- David Denison (Imperial College)
- Mark Hansen (Bell Labs)
- Chris Holmes (Imperial College)
- Robert Kohn (Univ. of New South Wales)
- Bani Mallick (Texas A&M)
- Martin Tanner (Northwestern)
- Bin Yu (UC Berkeley)
To apply for funding, you must register by the funding application deadline displayed above.
Students, recent Ph.D.'s, women, and members of underrepresented minorities are particularly encouraged to apply. Funding awards are typically made 6 weeks before the workshop begins. Requests received after the funding deadline are considered only if additional funds become available.
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