Browsing by Subject "variable selection"
Now showing items 1-5 of 5
-
(2021-06-29)This dissertation focuses on Bayesian semiparametric regression techniques under constrained setting, and its methodological, computational and applied aspects. We study several non-traditional statistical problems that ...
-
(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 ...
-
(2022-07-10)My dissertation includes three projects that I worked on in collaboration with my committee members and other students and faculty. Each of these projects facilitates model selection and model evaluation through an ...
-
(2018-07-18)We propose novel methods to tackle two problems: the misspecified model with measurement error and high-dimensional binary classification, both have a crucial impact on applications in public health. The first problem ...
-
(2020-06-09)Spatial random fields are widely used to model the space-time correlation structure of different objects in various fields, such as the soil moisture field in hydrological, agricultural and climatological studies. Since ...