Browsing by Author "Vannucci, Marina"
Now showing items 1-19 of 19
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Pokta, Suriani (Texas A&M University, 2004-11-15)This research consists of two parts. The first part examines the posterior probability integrals for a family of linear models which arises from the work of Hart, Koen and Lombard (2003). Applying Laplace's method ...
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Song, Joon Jin (Texas A&M University, 2004-11-15)Univariate hierarchical Bayes models are being vigorously researched for use in disease mapping, engineering, geology, and ecology. This dissertation shows how the models can also be used to build modelbased risk maps for ...
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Kim, Sinae (Texas A&M University, 2007-09-17)The increased collection of high-dimensional data in various fields has raised a strong interest in clustering algorithms and variable selection procedures. In this disserta- tion, I propose a model-based method that ...
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Ko, Kyungduk (Texas A&M University, 2005-11-01)The main goal of this research is to estimate the model parameters and to detect multiple change points in the long memory parameter of Gaussian ARFIMA(p, d, q) processes. Our approach is Bayesian and inference is done on ...
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Lee, Sang Han (2009-05-15)The objective of this dissertation is to develop a suitable statistical methodology for functional data analysis. Modern advanced technology allows researchers to collect samples as functional which means the ideal unit ...
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Sha, Naijun; Vannucci, Marina; Brown, Philip J.; Trower, Michael K.; Amphlett, Gillian; Falciani, Francesco (Comparative and Functional Genomics, 2003)
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Liu, Yong (Texas A&M University, 2007-04-25)In this dissertation, we study methods for improving the routing performance of computer communication networks in dynamic environments. The dynamic environments we considered in this work include both network topology ...
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Park, Chun Gun (Texas A&M University, 2004-09-30)Single index models are a special type of nonlinear regression model that are partially linear and play an important role in fields that employ multidimensional regression models. A wavelet series is thought of as a ...
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Small, Clayton M; Carney, Ginger E; Mo, Qianxing; Vannucci, Marina; Jones, Adam G (BMC Genomics, 2009)
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Joo, Hyun; Chavan, Archana G.; Day, Ryan; Lennox, Kristin P.; Sukhanov, Paul; Dahl, David B.; Vannucci, Marina; Tsai, Jerry; Levitt, Michael (PLoS Computational Biology, 2011)
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Karaer, Arzu (Texas A&M University, 2007-04-25)In this thesis, bit-by-bit power allocation in order to minimize mean-squared error (MSE) distortion of a basic communication system is studied. This communication system consists of a quantizer. There may or may not be a ...
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Panduru, Flaviu Gabriel (Texas A&M University, 2004-11-15)The purpose of this thesis is to derive and analyze the theoretical limits for estimatingthe symboltiming delayof Multiple-Input Multiple-Output (MIMO)systems. Two main N X M system models are considered, where N represents ...
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Yu, Yi (2009-06-02)Wireless network analysis and simulations rely on accurate physical layer models. The increased interest in wireless network design and cross-layer design require an accurate and efficient physical layer model especially ...
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Ryu, Duchwan (Texas A&M University, 2005-08-29)Bayesian approaches to the regression analysis for longitudinal measurements are considered. The history of measurements from a subject may convey characteristics of the subject. Hence, in a regression analysis with ...
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Hintze, Eric Poole (Texas A&M University, 2006-10-30)Many tests have been developed for comparing means in a two-sample scenario. Microarray experiments lead to thousands of such comparisons in a single study. Several multiple testing procedures are available to control ...
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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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Kim, Myung Suk (Texas A&M University, 2006-10-30)The shape of drift function in continuous time interest rate models has been investigated by many authors during the past decade. The main concerns have been whether the drift function is linear or nonlinear, but no ...
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Kim, Hyun Sun (Texas A&M University, 2004-11-15)Sample size calculation methods for ordinal logistic regression are proposed to test statistical hypotheses. The author was motivated to do this work by the need for statistical analysis of the red imported fire ants ...
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Kwon, Deukwoo (Texas A&M University, 2005-11-01)Wavelet methods possess versatile properties for statistical applications. We would like to explore the advantages of using wavelets in the analyses in two different research areas. First of all, we develop an integrated ...