Browsing by Author "Liang, Faming"
Now showing items 21-39 of 39
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Dasgupta, Sumantra (2009-05-15)The present research formulates the path planning as an optimization problem with multiple objectives and stochastic edge parameters. The first section introduces different variants of the PP problem and discusses existing ...
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Zou, Yajie (2013-11-11)The knowledge of speed and headway distributions is essential in microscopic traffic flow studies because speed and headway are both fundamental microscopic characteristics of traffic flow. For microscopic ...
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Tanner, Matthew W. (2010-01-16)We consider joint chance-constrained programs with random lefthand sides. The motivation of this project is that this class of problem has many important applications, but there are few existing solution methods. For the ...
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Wu, Mingqi (2011-02-22)This dissertation research consists of two topics, population stochastics approximation Monte Carlo (Pop-SAMC) for Baysian model selection problems and ChIP-chip data analysis. The following two paragraphs give a brief ...
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Zhu, Kehui (2013-04-04)Hurricanes cause enormous loss to life and property worldwide. Predicting the damage caused by hurricane and figuring out what factors are responsible for the damage are important. This study utilizes multiple linear ...
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Khodabakhshi, Morteza (2014-03-20)Multipoint statistics (MPS) provides an approach for pattern-based simulation of complex geologic objects from a training image (TI), which contains the general connectivity structures of complex patterns. While grid-based ...
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Cheon, Sooyoung (Texas A&M University, 2007-09-17)Recently, the stochastic approximation Monte Carlo algorithm has been proposed by Liang et al. (2005) as a general-purpose stochastic optimization and simulation algorithm. An annealing version of this algorithm was developed ...
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Yi, Bingqi (2013-07-09)This dissertation aims to study the broadband optical properties and radiative effects of dust aerosols and ice clouds. It covers three main topics: the uncertainty of dust optical properties and radiative effects from the ...
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Sharda, Bikram (Texas A&M University, 2008-10-10)Manufacturing system design decisions are costly and involve significant investment in terms of allocation of resources. These decisions are complex, due to uncertainties related to uncontrollable factors such as processing ...
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Wei, Jiawei (2011-10-21)This dissertation consists of five independent projects. In each project, a novel statistical method was developed to address a practical problem encountered in genomic contexts. For example, we considered testing for ...
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Jeong, Jae Sik (2009-05-15)The objective of this dissertation is to develop a suitable statistical methodology for parameter estimation in long memory process. Time series data with complex covariance structure are shown up in various fields such ...
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Ye, Zhirui (2009-05-15)Flow speed describes general traffic operation conditions on a segment of roadway. It is also used to diagnose special conditions such as congestion and incidents. Accurate speed estimation plays a critical role in traffic ...
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Jin, Ick Hoon (2011-06-27)In this dissertation, we have proposed two new algorithms for statistical inference for models with intractable normalizing constants: the Monte Carlo Metropolis-Hastings algorithm and the Bayesian Stochastic Approximation ...
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Wang, Yiyi (2013-04-01)Three statistical models are developed to address problems in Next-Generation Sequencing data. The first two models are designed for RNA-Seq data and the third is designed for ChIP-Seq data. The first of the RNA-Seq models ...
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Cheng, Yichen (2013-05-31)Stochastic approximation has been widely used since first proposed by Herbert Robbins and Sutton Monro in 1951. It is an iterative stochastic method that attempts to find the zeros of functions that cannot be computed ...
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Shin, Ja Eun (Texas A&M University, 2005-08-29)In this dissertation, I examine individual decisions in occupational choice, labor supply, and health care utilization. Occupational choice decisions of female college graduates on whether to teach or not are analyzed to ...
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Liu, Lian (2009-05-15)
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Liang, Faming (Annals of Statistics, 2010)
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Song, Qifan (2014-05-29)Variable selection plays an important role for the high dimensional data analysis. In this work, we first propose a Bayesian variable selection approach for ultra-high dimensional linear regression based on the strategy ...