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Submitted by pscully on Mon, 03/15/2010 - 14:04.
03/16/2010 - 13:10
03/16/2010 - 14:30
STA/BST 290: Jim Ramsay
Linear Models for Output-Buffered Systems
Department of Statistics
University of California, Davis
Please note: there are two seminars this Tuesday March 16th by Jim Ramsay. The second will be at 4:10pm - please click here for the abstract.
Tuesday, March 16th, 2010 at 1.10pm, MSB 1147 (Colloquium Room)
Refreshments 3:30pm, Statistics lounge
Speaker: Jim Ramsay (McGill Univ.)
Title: Linear Models for Output-Buffered Systems
Abstract: How systems transform streams of input information into one or more output behaviours is a preoccupation over virtually all the sciences, whether pure or applied. In many of these fields, models tend to be defined in terms of systems of differential equations, or dynamic systems. Until recently, statisticians had little to say about how to fit such models to data, or about how to draw inferences from data on such systems.
In this talk, we introduce dynamic systems as a relatively simple variation of a standard regression problem indexed by time, and outline an approach to fitting such systems to real data. Data on a variety of real-world input/output situations are used to illustrate what can be achieved by proposing that inputs are buffered in a variety of ways so as to transfer sharp changes in input to smooth output responses.