The application of machine learning in stock market 

Leveraging sparsity in theoretical and applied machine learning and causal inference 

A spatiotemporal analysis of environmental risk factors of Lyme disease in the Northeastern United States 

Evaluating the associations between the baseline and other exposure variables with the longitudinal trajectory when responses are measured with error 

Housing affordability near Metro’s light rail – Expo Line & Gold Line 

A comparison of value-added, orginary least squares regression, and the California Star accountability indicators 

Covariance-based distance-weighted regression for incomplete and misaligned spatial data 

Essays on nonparametric and finite-sample econometrics 

Out-of-school suspensions by home neighborhood: a spatial analysis of student suspensions in the San Bernardino City Unified School District 

Essays on economics of education 

Applications of multiple imputations in survival analysis 

Intelligent knowledge acquisition systems: from descriptive to predictive models 

Obesity and healthy food accessibility: case study of Minnesota, USA 

Predicting mortality of sepsis with machine learning model approaches 

X-linked repeat polymorphisms and disease risk: statistical power and study designs 

Body wall primary tumors in non-rhabdomyosarcoma soft tissue sarcoma 

Computational model of stroke therapy and long term recovery 

Robust estimation of high dimensional parameters 

Assessment of the mortality burden associated with ambient air pollution in rural and urban areas of India 

Facial age grouping and estimation via ensemble learning 

A series of longitudinal analyses of patient reported outcomes to further the understanding of care-management of comorbid diabetes and depression in a safety-net healthcare system 

Computational design for analysis of SNP association studies 

How can metrics matter: performance management reforms in the City of Los Angeles 

Network accessibility and population change: historical analysis of transportation in Tennessee, 1830-2010 

Sparseness in functional data analysis