Introduction: Potential public health impacts of recreational cannabis legalization (RCL) are a growing concern, particularly for young adults. Some evidence suggests that following RCL, cannabis use increased, whereas alcohol use decreased among young adults. Co-use patterns have not been found to change following RCL in this age group. However, RCLs...
Objective. Stage theories of health behavior are popular and of high practical relevance. Tests of the validity of these theories provide limited evidence because of validity and reliability problems. This study provides a bottom-up approach to identify behavioral stages from examining differences in underlying mindsets. We examine the concurrent validity...
This thesis provides a comparison of advanced econometric frameworks to account for unobserved factors in crash reported data (also referred to as unobserved heterogeneity) while identifying contributing factors by roadway classification for heavy vehicle injury severity and crash rates. The presented thesis provides two manuscripts that expand the literature regarding...
Learning latent space representations of high-dimensional world states has been at the core of recent rapid growth in reinforcement learning(RL). At the same time, RL algo- rithms have suffered from ignored uncertainties in the predicted estimates of model-free or model-based methods. In our work, we investigate both of these aspects...
Cyprinid herpesvirus 3 (CyHV-3), commonly known as koi herpesvirus (KHV), is a member of the Alloherpesviridae and is a deadly pathogen for koi and common carp, Cyprinus carpio. It causes severe gill necrosis and nephritis, dermal ulceration and hemorrhage, and mass mortality of up to 100% of affected fish. Fish...
Most tasks in natural language processing (NLP) try to map structured input (e.g., sentence or word sequence) to some form of structured output (tag sequence, parse tree, semantic graph, translated/paraphrased/compressed sentence), a problem known as “structured prediction”. While various learning algorithms such as the perceptron, maximum entropy, and expectation-maximization have...
Eliciting information from experts for use in constructing prior distributions for logistic regression coefficients can be challenging. The task is especially difficult when the model contains many predictor variables, because the expert is asked to provide summary information about the probability of “success” for many subgroups of the population. Often,...
Research has identified seven characteristics—value congruence, shared interests, perceived demographic similarity, needs-supplies match, goal similarity, common workstyle, and complementary attributes—on which group members simultaneously evaluate their perceived person-group (PG) fit. Most of extant research has focused on how each characteristic or them as a composite predicts outcomes. However, these variable-centered...
Online teaching and learning has become an increasingly important aspect of the educational mission of universities. In person, teachers have time-tested tools for assessing student ability, including a wealth of verbal and nonverbal communication. The online format provides a wealth of data, and promises—but may not yet deliver—useful tools for...