Browsing by Author "Mallick, Bani"
Now showing items 1-20 of 42
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Liu, Senmao (2016-07-28)Principle component analysis (PCA) has been a widely used tool for statistics and data analysis for many years. A good result of PCA should be both interpretable and accurate. However, neither interpretability nor accuracy ...
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Vermaak, Jan Izak Conelius (2022-04-19)The residual Monte Carlo (RMC) method is also known in the literature as sequential Monte Carlo and reduced-source Monte Carlo. Given a Monte Carlo method for solving a linear equation and an approximate solution to that ...
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Mandal, Soutrik (2018-08-03)The Cox proportional hazards model and the proportional odds model are some of the popular survival models often chosen to analyze censored time-to-event data. The properties of these models have been studied in detail by ...
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Li, Bo (2009-06-02)This dissertation includes two parts. Part 1 develops a geostatistical method to calibrate Texas NexRad rainfall estimates using rain gauge measurements. Part 2 explores the asymptotic joint distribution of sample space-time ...
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Olalotiti-Lawal, Feyisayo (2013-05-17)Rapid economic evaluations of investment alternatives in the oil and gas industry are typically contingent on fast and credible evaluations of reservoir models to make future forecasts. It is often important to also quantify ...
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Zilber, Daniel S (2021-06-02)Gaussian processes are a powerful and flexible class of nonparametric models that use covariance functions, or kernels, to describe correlations across data. In addition to expressing realistic assumptions, correlation ...
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Larsen, Allyson Elaine (2020-05-21)Markov chain Monte Carlo (MCMC) sampling methods often do not scale well to large datasets, so there has been an increased interest in approximate Markov chain Monte Carlo (aMCMC) sampling methods. We propose two different ...
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Ghosh, Riddhi Pratim (2019-07-25)Estimation of correlation matrices is a challenging problem due to the notorious positive-definiteness constraint and high-dimensionality. Reparameterising Cholesky factors of correlation matrices in terms of angles or ...
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Gold, David L. (2009-05-15)Life sciences research is advancing in breadth and scope, affecting many areas of life including medical care and government policy. The field of Bioinformatics, in particular, is growing very rapidly with the help of ...
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Zhang, Saijuan (2012-02-14)This dissertation has mainly two parts. In the first part, we propose a bivariate nonlinear multivariate measurement error model to understand the distribution of dietary intake and extend it to a multivariate model to ...
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Baladandayuthapani, Veerabhadran; Talluri, Rajesh; Ji, Yuan; Coombes, Kevin; Lu, Yiling; Hennessy, Bryan; Davies, Michael; Mallick, Bani (The Annals of Applied Statistics, 2014)
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Xiao, Yufei (2009-05-15)This dissertation attempts to answer some of the vital questions involved in the genetic regulatory networks: inference, optimization and robustness of the mathe- matical models. Network inference constitutes one of the ...
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Lobach, Iryna (2009-05-15)It is widely believed that risks of many complex diseases are determined by genetic susceptibilities, including environmental exposures, and their interaction. Chatterjee and Carroll (2005) have recently developed an ...
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Zhou, Fangting (2022-07-10)Causal relationship, rather than statistical association, provides the basic understanding of nature. Learning causal structure from observational data is one of the most fundamental ways to explore causality, and the ...
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Tao, Qing (2011-02-22)Waterflooding is currently the most commonly used method to improve oil recovery after primary depletion. The reservoir heterogeneity such as permeability distribution could negatively affect the performance of waterflooding. ...
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Arroyo Negrete, Elkin Rafael (Texas A&M University, 2007-04-25)This work presents a new approach that combines the comprehensive capabilities of the ensemble Kalman filter (EnKF) and the flow path information from streamlines to eliminate and/or reduce some of the problems and limitations ...
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Olalotiti-Lawal, Feyisayo Omoniyi (2018-04-25)It is believed that the observed rapid rise in global temperatures is caused by high atmospheric concentration of CO2, due to emissions from fossil fuel combustion. While global efforts are currently in place to mitigate ...
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Mann, John Clifford (Texas A&M University, 2006-10-30)The ability of ionizing radiation to enhance colon carcinogenesis and the role of diet in this process has not been documented. We hypothesized that radiation would enhance the formation of aberrant crypt foci, ACF, known ...
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Mohammadi Darani, Milad (2019-06-24)This research comprises two essays on the development and application of machine learning models for marketing problems such as segmentation and personalized product recommendation. Prior market segmentation research has ...
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Birt, Lindsay Nicole (2009-05-15)Urban development will continue to increase in Texas because of population growth and urban sprawl. Despite the desire for urbanization and expansion of the economy, this growth increases the amount of construction, which, ...