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Sensitivity Analyses in Empirical Studies Plagued with Missing Data
(2013-09-30)
Analyses of data with missing values often require assumptions about missingness mechanisms that cannot be assessed empirically, highlighting the need for sensitivity analyses. However, universal recommendations for reporting ...
Methods in Hypothesis Testing, Markov Chain Monte Carlo and Neuroimaging Data Analysis
(2013-09-25)
This thesis presents three distinct topics: a modified K-S test for autocorrelated data, improving MCMC convergence rate with residual augmentations, and resting state fMRI data analysis. In Chapter 1, we present a modified ...
Essays on Econometrics and Decision Theory
(2013-09-24)
This dissertation presents three essays. The first essay, coauthored with Tomasz Strzalecki, is a classical exercise in axiomatic decision theory. We propose a simple and novel axiomatization of quasi-hyperbolic discounting, ...
Distributed and Multiphase Inference in Theory and Practice: Principles, Modeling, and Computation for High-Throughput Science
(2013-09-18)
The rise of high-throughput scientific experimentation and data collection has introduced new classes of statistical and computational challenges. The technologies driving this data explosion are subject to complex new ...
Partition Models for Variable Selection and Interaction Detection
(2013-09-27)
Variable selection methods play important roles in modeling high-dimensional data and are key to data-driven scientific discoveries. In this thesis, we consider the problem of variable selection with interaction detection. ...
Three Essays of Applied Bayesian Modeling: Financial Return Contagion, Benchmarking Small Area Estimates, and Time-Varying Dependence
(2013-09-27)
This dissertation is composed of three chapters, each an application of Bayesian statistical models to particular research questions. In Chapter 1, we evaluate systemic risk exposure of financial institutions. Building ...
Bayesian Methods and Computation for Large Observational Datasets
(2013-09-30)
Much health related research depends heavily on the analysis of a rapidly expanding universe of observational data. A challenge in analysis of such data is the lack of sound statistical methods and tools that can address ...
Statistical Learning of Some Complex Systems: From Dynamic Systems to Market Microstructure
(2013-09-27)
A complex system is one with many parts, whose behaviors are strongly dependent on each other. There are two interesting questions about complex systems. One is to understand how to recover the true structure of a complex ...
Advances in Empirical Bayes Modeling and Bayesian Computation
(2013-08-14)
Chapter 1 of this thesis focuses on accelerating perfect sampling algorithms for a Bayesian hierarchical model. A discrete data augmentation scheme together with two different parameterizations yields two Gibbs samplers ...
Three Essays on Race and Politics
(2013-08-12)
Understanding how race shapes the lives of individuals and transforms institutions is central to social science. Yet, for many scholars, race is widely understood as a fixed and monolithic category that is resistant to ...