5 papers
Tree Estimation and Saddlepoint-Based Diagnostics for the Nested Dirichlet Distribution: Application to Compositional Behavioral Data
Jacob A. Turner, Monnie McGee, Bianca A. Luedeker
The Nested Dirichlet Distribution (NDD) provides a flexible alternative to the Dirichlet distribution for modeling compositional data, relaxing constraints on component variances a…
Layered Dirichlet Modeling to Assess the Changing Contributions of MLB Players as they Age
Monnie McGee, Jacob Turner, Bianca Luedeker
The productive career of a professional athlete is limited compared to the normal human lifespan. Most professional athletes have retired by age 40. The early retirement age is due…
GRB Redshift Classifier to Follow-up High-Redshift GRBs Using Supervised Machine Learning
Maria Giovanna Dainotti, Shubham Bhardwaj, Christopher Cook +8
Gamma-ray bursts (GRBs) are intense, short-lived bursts of gamma-ray radiation observed up to a high redshift () due to their luminosities. Thus, they can serve as cosmo…
Analysis of Compositional Data with Positive Correlations among Components using a Nested Dirichlet Distribution with Application to a Morris Water Maze Experiment
Jacob A. Turner, Bianca A. Luedeker, Monnie McGee
In a typical Morris water maze experiment, a mouse is placed in a circular water tank and allowed to swim freely until it finds a platform, triggering a route of escape from the ta…
Maximizing Diver Score by Examining Discrepancies in Diver Competency and Judges' Marks
Monnie McGee
Central to diving competitions is the diver's ``dive list'', which is the list of dives an athlete will perform during a competition. Creating a dive list that contains enough diff…