The main goal of this project is to implement an algorithmic music composition procedure and present all procedures and results in a reproducible fashion by creating a web application produced by R. To approach the implementation of the algorithmic composition of music, we start by exploring various models, but ultimately...
This study investigates methods of multivariate regression analysis and their applications to biological data. It provides an overview of methods of reduced rank regression and sparse multivariate regression, including their motivations, methods, and applications. It also implements a form of sparse regression known as Regularized Multivariate Regression for Identifying Master...
Clear and unbiased question wording is important to obtaining consistent and accurate survey results. However, if the goal is not to obtain accurate results but instead to obtain a specific result, then altering question wording may be effective. To examine this possibility, we created a survey with 9 different versions...
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SarahEmerson, Committee Member, representing the Oregon State University
Statistics Department
Earthquake rupture scenarios are important tools for understanding the nature of plate movement and patterns in seismic activity. The creation and assessment of these rupture scenarios rely heavily on geologic reasoning and principles applied to earthquake event data. This reliance introduces a certain amount of subjectivity to the rupture scenario...
We explore the possibility of estimating sparse inverse covariance matrices when for scientific reasons the covariance matrix is restricted to be a non-negative matrix. The process mirrors the graphical lasso process developed by Friedman and others(2008) that did not have this additional constraint.Accordingly, the Lasso procedure is done through coordinate...
With mechanization, the logging industry has experienced a decreasing trend in the total number of workplace accidents, especially as new technology is making harvesting safer. However, there are areas within harvest units such as extremely steep slopes or rocky outcrops that are inaccessible to machines and are required to be...
Advancements in neurological data capturing and mapping have provided scientists with exponentially more information, allowing for more detailed analysis of neurological behaviors and their translations to cognitive, emotional, and physical function. Inspired by the diffculty in diagnosing brain damage, this project seeks to leverage statistical modeling with EEG data to...
In this research, the comparative performance of permutation and non-permutation schedules is investigated in an assembly flow shop (AFS) with shift production, where a limited buffer storage is available between two machines. Most of the traditional scheduling problems consider continuous production, i.e., production occurs for 24 hours (3 * 8-hour...
Turbines at wind projects pose a threat to birds and bats flying at altitudes within the rotor swept area. These animals die from colliding with the turbine blades. Estimating mortality, or the total number of bird or bat fatalities at a wind project, is critical to understanding environmental impacts of...
To address several challenges faced in healthcare, the Triple Aim (3A) was targeted by institutions to improve health outcomes and patient experience while reducing the costs of health. Process improvement techniques in manufacturing, such as Lean systems, were applied as tools to achieve the 3A framework. Unfortunately, the high level...