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by
Shi, Huwenbo, author.
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these data. This dissertation presents four statistical methods that model the correlation structure
by
Natarajan, Balasubramaniam, author.
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. The efficacy of kernel based methods depend both on the kernel choice and the smoothing parameter
by
Nguyen, Yet, author.
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This dissertation is a collection of four papers on the development of statistical methods for the
by
Ellis, Amanda R., author.
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capture histories being fixed. The methods properly account for uncertainty in the matching process and
by
Derpanopoulos, George, author.
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unstable portfolios with extreme weights. This study reviews and evaluates several methods for altering MPT
by
Lu, Feihan, author.
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address using conventional methods. In this dissertation, we propose Bayesian modeling strategies to
by
Wang, Zhenchuan, author.
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studies, we compared the performance of TOWmuT with the following five existing methods: gene association
by
Keele, Gregory R., author.
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that modulate complex phenotypes. Statistical methods developed for simpler populations have been
by
Wang, Gang, author.
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exciting advances in non-convex optimization and statistical learning to devise algorithmic tools that are
by
Garcia, Jose Alfonso Campillo, author.
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Chapter 1 and the parametric bootstrapped robust t-test of Chapter 2. To test the statistical significance
by
Wang, Qi, author.
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from the game, Wuzzit Trouble, in order to prove that these methods, adopted from the telecom industry
by
Liang, Xiaoyu, author.
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, developing statistical methods to test for genetic association with multiple phenotypes has become

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