Browsing UT Electronic Theses and Dissertations by Title
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Batteries half full? : an analysis of electric vehicles and a proposal for charging stations at the University of Virginia
(201205)Electric Vehicles (EVs) have been hailed by some as a revolutionary new technology whose adoption will clean our air, reduce our dependence on foreign oil, and change the way we drive. A key step to achieving this vision ... 
Battery Balancing at Xtreme Power
(201112)Battery pack imbalance is one of the most pressing issues for companies involved in Battery Energy Storage. The importance of Battery Balancing with respect to Xtreme Power has been analysed in detail. Various methods of ... 
Battle Hall : restoring natural ventilation in the Reading Room
(201105)Battle Hall, located at the heart of the University of Texas at Austin’s campus since 1911, has been serving the University for a century. It was designed for cooling with natural ventilation prior to being fully air ... 
Bayesian analysis of some pricing and discounting models
(201205)The dissertation comprises an introductory Chapter, four papers and a summary Chapter. First, a new class of Bayesian dynamic partition models for the Nelson Siegel family of nonlinear statespace Bayesian statistical ... 
Bayesian analysis of the complex Bingham distribution
(201012)While most statistical applications involve real numbers, some demand complex numbers. Statistical shape analysis is one such area. The complex Bingham distribution is utilized in the shape analysis of landmark data in ... 
Bayesian approaches for modeling protein biophysics
(201408)Proteins are the fundamental unit of computation and signal processing in biological systems. A quantitative understanding of protein biophysics is of paramount importance, since even slight malfunction of proteins can ... 
Bayesian estimation of a longitudinal mediation model with threelevel clustered data
(201512)Longitudinal modeling allows researchers to capture changes in variables that take time to exert their effects. Furthermore, incorporating mediation into a longitudinal model allows for researchers to test causal inferences ... 
Bayesian forecasting of motor recovery following cortical infarcts
(201512)Globally, about 15 million people suffer a stroke each year. Of these affected, about 5 million die and another 6 million are left with longterm disability. The cause of this disability is often due to motor, or muscle, ... 
Bayesian hierarchical linear modeling of NFL quarterback rating
(201505)With endless amounts of statistics in American football, there are numerous ways to evaluate quarterback performance in the National Football League. Owners, general managers, and coaches are always looking for ways to ... 
Bayesian hierarchical modelling of pavement performance
(201505)A challenge currently faced by local, state and federal transportation agencies is the constantly increasing traffic demand, combined with a less increasing availability of funds for the maintenance of the highway ... 
Bayesian hierarchical parametric survival analysis for NBA career longevity
(201205)In evaluating a prospective NBA player, one might consider past performance in the player’s previous years of competition. In doing so, a general manager may ask the following questions: Do certain characteristics of a ... 
Bayesian inference for random partitions
(201308)I consider statistical inference for clustering, that is the arrangement of experimental units in homogeneous groups. In particular, I discuss clustering for multivariate binary outcomes. Binary data is not very informative, ... 
Bayesian inference methods for next generation DNA sequencing
(201408)Recently developed nextgeneration sequencing systems are capable of rapid and costeffective DNA sequencing, thus enabling routine sequencing tasks and taking us one step closer to personalized medicine. To provide a ... 
Bayesian learning methods for neural coding
(201312)A primary goal in systems neuroscience is to understand how neural spike responses encode information about the external world. A popular approach to this problem is to build an explicit probabilistic model that characterizes ... 
Bayesian learning methods for potential energy parameter inference in coarsegrained models of atomistic systems
(201505)The present work addresses issues related to the derivation of reduced models of atomistic systems, their statistical calibration, and their relation to atomistic models of materials. The reduced model, known in the chemical ... 
Bayesian learning with catastrophe risk : information externalities in a large economy
(201108)Based on a previous study by Amador and Weill (2009), I study the diffusion of dispersed private information in a large economy subject to a ”catastrophe risk” state. I assume that agents learn from the actions of oth ers ... 
Bayesian Logic Programs for plan recognition and machine reading
(201212)Several real world tasks involve data that is uncertain and relational in nature. Traditional approaches like firstorder logic and probabilistic models either deal with structured data or uncertainty, but not both. To ... 
Bayesian mediation analysis for partially clustered designs
(201305)Partially clustered design is common in medicine, social sciences, intervention and psychological research. With some participants clustered and others not, the structure of partially clustering data is not parallel. Despite ... 
A Bayesian network classifier for quantifying design and performance flexibility with application to a hierarchical metamaterial design problem
(201312)Design problems in engineering are typically complex, and are therefore decomposed into a hierarchy of smaller, simpler design problems by the design management. It is often the case in a hierarchical design problem that ...