seminars:stat:171019
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| + | This talk is part of the Dean's Speaker Series in Statistics and Data Science. | ||
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| + | Systems of differential equations are often used to model buffering processes that modulate a non-smooth high-energy input so as to produce an output that is smooth and that distributes the energy load over time and space. Handwriting is buffered in this way. We show that the smooth complex script that spells `”statistics” in Chinese can be represented as buffered version of a series of 46 equal-interval step inputs. | ||
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| + | The buffer consists of three undamped oscillating springs, one for each orthogonal coordinate. | ||
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| + | We use the term “dynamic smoothing” for the estimation of a structured functional object that is input to a buffer. | ||
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| + | About the speaker: James O. Ramsay is a retired Emeritus Professor in the Psychology Department at McGill University, and a retired Associate Member of Department of Mathematics and Statistics with adjunct appointments in the Department of Chemical Engineering, | ||
| + | Jim has had a long and distinguished career as a researcher. He is internationally acclaimed as the founder of Functional Data Analysis. He has contributed widely to the development of the field and to its dissemination through numerous publications and software libraries in Matlab and R. | ||
| + | Jim has also made highly influential contributions to multidimensional scaling and nonparametric statistics, in addition to solving a range of problems in psychometrics and much more. In recognition of his work, Jim was awarded the 1998 Gold Medal of the SSC. He was also the recipient of The Canadian Journal of Statistics Best Paper Award in 2000. Jim was President of the SSC (2002-2003). A fellow of the Canadian Psychological Association, | ||
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