Browsing by Author "Kahle, David J."
Now showing items 1-7 of 7
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Bayesian methods for hurdle models.
Cheng, Joyce H., 1986- (2015-02-09)Hurdle models are often presented as an alternative to zero-inflated models for count data with excess zeros. They consist of two parts: a binary model indicating a positive response (the “hurdle”) and a zero-truncated ... -
Contributions to algebraic pattern recognition and integrated likelihood ratio confidence intervals.
Ma, Qida, 1990- (2021-04-12)Nonlinear polynomial equations describing positive-dimensional solution sets are called real varieties that in general may be quite complex but locally look like smooth manifolds. In the first chapter, we describe ways to ... -
Contributions to computational algebraic statistics.
Innerst, Grant Lee, 1993-; 0000-0002-0904-9877 (2019-07-17)The field of algebraic statistics arose from the realization that problems in statistics can often be viewed, and subsequently solved, using algebraic concepts and tools. In this work, we explore the application of algebraic ... -
Contributions to the practical application of Bayesian methods to survival analysis in clinical trials.
Miyakawa, Evan, 1995-; 0000-0002-3608-3245 (2022-03-11)This dissertation is composed of three chapters that deal with fairly distinct concepts. In the first chapter, we compare and contrast the major Bayesian computational platforms accessible in the R statistical computing ... -
Graphical methods in prior elicitation.
Casement, Christopher James, 1987- (2017-07-16)Prior elicitation is the process of quantifying an expert's belief in the form of a probability distribution on a parameter(s) to be used in a Bayesian data analysis. Existing methods require experts to quantify their ... -
Network meta-analysis with rare events and misclassified response.
Wu, Wenqi, 1989- (2016-06-23)Count data are subject to considerable sources of what is often referred to as non-sampling error. Errors such as misclassification, measurement error, and unmeasured confounding can lead to substantially biased estimators. ... -
Sample size determination for two sample binomial and Poisson data models based on Bayesian decision theory.
Sides, Ryan A. (, 2014-01-28)Sample size determination continues to be an important research area in statistical analysis due to the cost and time constraints that often exist in areas such as pharmaceuticals and public health. We begin by outlining ...