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Annual Report 2008.pdf - SAMSI

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suggested modeling the loss as a beta distributed random variable times a constant and then look<br />

at the expected loss. For the second course, I focused on modeling financial time series. I worked<br />

together with Dr. Munoz on modeling five stocks from the European market. For these series, we<br />

found that the models that fit best are GARCH or E-GARCH with t distributed errors.<br />

My contribution to the working groups consisted in participating in discussions and<br />

holding two presentations. In the Multivariate Extremes Applications working group I presented<br />

the earlier mentioned financial time series project. I also participated in the Multivariate<br />

extremes Methodology working group where I presented a paper for analyzing time series data<br />

following the Poisson distribution. This paper was proposed by Dr. Smith as a method to be used<br />

to analyze hurricane occurrences in the Atlantic and investigate the correlation with sea surface<br />

temperature; his idea was to analyze the two variables as a bivariate time series to remove the<br />

autocorrelation and then test for correlation between them.<br />

During the <strong>SAMSI</strong> undergraduate workshops, I had the opportunity to provide students<br />

with an introduction to the methodology for extreme value analysis. At the same time, I guided<br />

students in the use of computer software in the practice session. During breaks I had the<br />

opportunity to talk to them and answer their questions regarding graduate studies. Among other<br />

activities, I also attended the <strong>SAMSI</strong> seminars, where I became familiar with typical extreme<br />

value analysis topics such as modeling the dependence on extreme values for different variables<br />

and estimation of the parameters of M4 processes. Overall, these seminars have nurturedand<br />

greatly expanded my interest and knowledge in extreme value theory, both at a theoretical<br />

andpractical level.<br />

2. Random Media<br />

Qin Zhang (NCSU) has been active in two working groups at <strong>SAMSI</strong>. One is the working group<br />

on Interface Problems. He took the <strong>SAMSI</strong> course MA581 in the fall 2007 on free boundaries<br />

and moving interfaces. He is also one of participants of the <strong>SAMSI</strong> working group on stochastic<br />

PDE. He gave a presentation, titled “Optimal Bilinear Control on Quantum Systems,” in the<br />

<strong>SAMSI</strong> Postdoc/Graduate Students Seminar. He also presented a talk on the quantum<br />

probability theory and quantum filtering problems in the working group. His thesis topic<br />

concerns finding a stable feedback solution for quantum control problem arisen in quantum spin<br />

systems under continuous measurement which is closed related to the <strong>SAMSI</strong> program. He also<br />

helped with the undergraduate workshop.<br />

Ke Xu (UNC) was involved in the heterogeneity in biological media working group. She took<br />

the <strong>SAMSI</strong> course MA581 in the fall 2007 on free boundaries and moving interfaces. She spoke<br />

in the working group several time about her research and relation with the <strong>SAMSI</strong> program.<br />

Hui Xie (NCSU) is involved in the interface working group. Hui Xie is a graduate student at<br />

NCSU working toward his Ph.D. He took the <strong>SAMSI</strong> course MA581 in the fall, 2007 on<br />

numerical methods for free boundaries and moving interfaces. He presented a talk in the<br />

interface working group. His talk was about the finite element method with a locally modified<br />

triangulation for the elliptic interface problems. He also helped with the undergraduate<br />

workshop.

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