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[공지]2007년 숙명여대 통계학과 BK21 사업 초청세미나

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작성자 관리자 작성일07-07-20 13:48 조회3,945회

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2007년 숙명여대 통계학과 BK21 사업 초청세미나 안내입니다


연사: Wei-Yin Loh, University of Wisconsin, Madison, WI 53706
일시: 2007년 8월 17일 금요일 오후 3시~ 5시20분
장소: 숙명여대 과학관 604호

발표제목: On bootstrap tests of hypotheses (3시~4시)
Abstract:
The bootstrap method is sometimes used to test hypotheses when the
statistical model is too complex to be studied analytically. For
example, Ane, Burleigh, McMahon, and Sanderson (2004) use the method
to test a certain molecular evolution hypothesis that involves
stochastic processes. In this talk, we examine the validity and power
of the bootstrap test in some simple problems that permit theoretical
analysis. The results are quite unexpected.
 
발표제목: Regression and variable selection in large p, small n problems
(4시20분~5시20분)
Abstract:
Data sets with very many predictor variables and small numbers of
samples (such as occur in microarray data) often present special
difficulties for model fitting. If some variables are irrelevant and
their number increases, the prediction accuracy of any sensible
model-fitting algorithm will eventually decay. One way to delay the
rate of decay is to reduce the number of variables by first
eliminating the variables that do not significantly affect the
response variable. Although variable selection techniques for linear
models have been available for a long time, it is only very recently
that corresponding techniques for nonparametric models have been
considered. One technique uses the variable importance scores from
Random Forest (Tuv, Borisov, and Torkkola, 2006) and another is a
local polynomial-based tube-hunting method called EARTH (Doksum, Tang,
and Tsui, 2006). We introduce yet another approach based on the GUIDE
(Loh, 2002) regression tree algorithm and compare the computational
and statistical effectiveness of the methods on real and simulated
datasets.


연락처 : 학과 사무실 (710-9437), 여인권 (2077-7173)
            세미나 후 저녁식사 같이 하실 분은 8월 7일까지 연락을 주시면 예약하는데 도움이 될 것 같습니다.