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Bayesian Nonparametric Probabilistic Methods in Machine Learning
Many aspects of modern science, business and engineering have become data-centric, relying on tools from Artificial Intelligence and Machine Learning. Practitioners and researchers in these fields need tools that can ...
Fault Diagnosis and Prognosis in Industrial Systems Using Machine Learning Techniques
This dissertation concerns the development and usage of advanced machine learning and signal processing methods for fault diagnosis and prognosis in industrial systems. It establishes a mathematical framework for ...
Three Essays on Migration, Occupational Sorting, and Degree Choice: Analyses of Spatial Autocorrelation, Income and the Race Wage Gap
This dissertation consists of three essays concerning migration, occupational sorting, and college major choice. They each examine income, Chapter 1 concerning aggregate income at the county level, while Chapters 2 and ...
Foreign Investment Dependence and Infant Mortality Outcomes in the Sub-Sahara: A Bayesian P-Spline Approach to Processing Missing Sub-Regional Data
Based on extant literature, it is unclear whether life-expectancy-at-birth estimates are improved, or adversely affected, by maladapted foreign capital instruments. Accordingly, this study presents a thematic review, ...