Browsing by Author "Carroll, Raymond J."
Now showing items 21-40 of 46
-
Ren, Haobo (Texas A&M University, 2006-10-30)The basic philosophy of Functional Data Analysis (FDA) is to think of the observed data functions as elements of a possibly infinite-dimensional function space. Most of the current research topics on FDA focus on advancing ...
-
Spinka, Christine Marie (Texas A&M University, 2005-02-17)Gene-environment interactions are an area of increasing interest in complex hu- man diseases. The first step in any study of the interactions between genes and the environment involves identifying genes which influence ...
-
Wei, Rubin (2014-04-18)This dissertation consists of two main projects in the area of measurement error models with application in nutritional epidemiology. The first project studies the application of moment reconstruction and moment- adjusted ...
-
Little, Mark P.; Kukush, Alexander G.; Masiuk, Sergii V.; Shklyar, Sergiy; Carroll, Raymond J.; Lubin, Jay H.; Kwon, Deukwoo; Brenner, Alina V.; Tronko, Mykola D.; Mabuchi, Kiyohiko; Bogdanova, Tetiana I.; Hatch, Maureen; Zablotska, Lydia B.; Tereshchenko, Valeriy P.; Ostroumova, Evgenia; Bouville, André C.; Drozdovitch, Vladimir; Chepurny, Mykola I.; Kovgan, Lina N.; Simon, Steven L.; Shpak, Victor M.; Likhtarev, Ilya A.; Akiba, Suminori (PloS One, 2014)
-
Sun, Ying (2011-10-21)This dissertation is composed of four articles describing inference and visualization of periodic sequences. In the first article, a nonparametric method is proposed for estimating the period and values of a periodic ...
-
Munoz Maldonado, Yolanda (Texas A&M University, 2005-11-01)In recent years there has been increased research activity in the area of Func- tional Data Analysis. Methodology from finite dimensional multivariate analysis has been extended to the functional data setting giving birth ...
-
George, Nysia I. (2010-01-16)Microarray technology has become a dynamic tool in gene expression analysis because it allows for the simultaneous measurement of thousands of gene expressions. Uniqueness in experimental units and microarray data platforms, ...
-
Marchenko, Yulia V. (2012-02-14)This dissertation is composed of three articles describing novel approaches for analysis and modeling using multivariate skew-normal and skew-t distributions in econometrics and environmetrics. In the first article we ...
-
Ray, Shubhankar (Texas A&M University, 2006-10-30)Nonparametric Bayesian models have been researched extensively in the past 10 years following the work of Escobar and West (1995) on sampling schemes for Dirichlet processes. The infinite mixture representation of the ...
-
Li, Yehua; Wang, Naisyin; Hong, Meeyoung; Turner, Nancy D.; Lupton, Joanne R.; Carroll, Raymond J. (Annals of Statistics, 2007)
-
Bandyopadhyay, Soutir (2011-10-21)In recent years, there has been a surge of research interest in the analysis of time series and spatial data. While on one hand more and more sophisticated models are being developed, on the other hand the resulting theory ...
-
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 ...
-
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 ...
-
Zhou, Shuang (2020-07-21)Bayesian methodology has been widely explored and applied to broad fields due to its natural ability of uncertainty quantification, also the flexibility to model specific statistical problems and incorporate non-regular ...
-
Xu, Kun (2013-10-21)The dissertation considers semiparametric regression models inspired by statistical problems in ecological, medical and neurological studies. In those models, the interest is usually on the estimation of a set of finite ...
-
Hu, Zonghui (Texas A&M University, 2006-04-12)Semiparametric models play important roles in the field of biological statistics. In this dissertation, two types of semiparametic models are to be studied. One is the partially linear model, where the parametric ...
-
Sima, Chao (Texas A&M University, 2007-09-17)High-throughput technologies for rapid measurement of vast numbers of biolog- ical variables offer the potential for highly discriminatory diagnosis and prognosis; however, high dimensionality together with small samples ...
-
Xun, Xiaolei (2012-07-16)Inverse problems have gained popularity in statistical research recently. This dissertation consists of two statistical inverse problems: a Bayesian approach to detection of small low emission sources on a large random ...
-
Leyk Williams, Malgorzata (Texas A&M University, 2006-04-12)Intestinal tract cancer is one of the more common cancers in the United States. While in some individuals a genetic component causes the cancer, the rate of cancer in the remainder of the population is believed to be ...
-
Apanasovich, Tatiyana Vladimirovna (Texas A&M University, 2005-11-01)In an experiment to understand colon carcinogenesis, all animals were exposed to a carcinogen while half the animals were also exposed to radiation. Spatially, we measured the existence of aberrant crypt foci (ACF), namely ...