Browsing by Author "Carroll, Raymond"
Now showing items 1-19 of 19
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Apigenin and Naringenin Increase Apoptosis and Decrease Proliferation via Transcriptional Regulation Daniels, Wesley Danielle (2014-11-26)Previous studies have shown that apigenin and naringenin (flavonoids) suppress colon carcinogenesis by inducing apoptosis and suppressing proliferation in rats. The goal of this thesis was to test the hypothesis that ...
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Rogers, Charles Ray (2013-12-05)Of cancers affecting both men and women, colorectal cancer (CRC) is the second leading cancer to kill African Americans in the U.S. Compared to White men, African-American men have CRC incidence and mortality rates 20% and ...
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Lin, Fang-Yu (2014-10-15)Modeling and mining with massive volumes of data have become popular in recent decades. However, it is difficult to analyze on a single commodity computer because the size of data is too large. Parallel computing is widely ...
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Wang, Xiao (2017-04-05)A multivariate time series could be partitioned either horizontally (over time) to induce local stationarity or vertically (over the variables) to reduce dimension and the high computational cost. Dimension reduction for ...
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Dai, Guorong (2019-05-23)This dissertation contains the two research projects in my Ph.D. study. The first project considers nonlinear regression models that are solely defined by a parametric model for the regression function. The responses are ...
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Shujie, MA; Carroll, Raymond; Liang, Hua; Xu, Shizhong (Annals of Statistics, 2015)
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He, Shiyuan (2017-04-21)Both type Ia supernovae and variable stars are important distance indicators in astronomy. The peak luminosity of type Ia supernovae and the period-luminosity relation of Miras can be employed for relative distance ...
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Kyureghian, Gayaneh (2010-07-14)Obesity is a rapidly growing public health threat as well as an economic problem in the United States. The recent changes in eating habits, especially the relative increase of food away from home (FAFH) consumption over ...
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Gong, Wenlong (2018-10-19)Recent advances in remote-sensing techniques enabled accurate location geocoding and encouraged the collection of big spatial datasets over large domains. Data obtained in these settings are usually multivariate, with ...
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Liu, Hong (2017-11-10)Obesity and overweight have become national health concerns and have contributed to many non-communicable or chronic diseases such as type 2 diabetes (T2D), cardiovascular complications, and cancers. A variety of factors, ...
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Wang, Yanqing (2014-08-15)Motivated by a logistic regression problem involving diet and cancer, we reconsider the problem of forming a confidence interval for the ratio of two location parameters. We develop a new methodology, which we call the ...
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Wang, Jiayi (2022-06-13)Reproducing kernel Hilbert space (RKHS) is a popular modeling approach for nonparametric function estimations. This dissertation demonstrates how to incorporate nice properties of RKHS in constructing estimators that have ...
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Tayade, Rajeshwary (Texas A&M University, 2004-09-30)Robustness of a system has been defined in various ways and a lot of work has been done to model the system robustness , but quantifying or measuring robustness has always been very difficult. In this research we consider ...
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Hering, Amanda S. (2010-10-12)High-quality short-term forecasts of wind speed are vital to making wind power a more reliable energy source. Gneiting et al. (2006) have introduced a model for the average wind speed two hours ahead based on both spatial ...
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Zhou, Huijuan (2021-04-22)In many scientific studies and real life scenes, one of the essential questions is “Are there any signals in the datasets?”. For example in genetics, scientists are interested in genes that are differentially expressed ...
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Guha, Biraj Subhra (2021-07-16)I provide statistical guarantees for Bayesian variational boosting by proposing a novel small bandwidth Gaussian mixture variational family. We employ a functional version of Frank-Wolfe optimization as our variational ...
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Zhang, Weimin (Texas A&M University, 2006-10-30)Multiphoton laser scanning microscopy (MPLSM) is an advanced fluorescence imaging technology which can produce a less noisy microscope image and minimize the damage in living tissue. The MPLSM image in this research is the ...
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Gregory, Karl Bruce (2014-06-12)This document contains three sections. The first two present new methods for two-sample testing where there are many variables of interest and the third presents a new methodology for time series bootstrapping. In the ...
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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 ...