Parameter Estimation Using a Continuous, Differentiable and Asymmetric Penalized Likelihood Function

by

Brian Holt and Dr. Dennis Tolley, Department of Statistics Per the original ORCA proposal, work has been done to estimate relative amounts of compounds from GC-MS (gas chromatography-mass spectrometry) data using an asymmetric penalized likelihood function. The initial results of this project were presented at the CPMS Student Research Conference in March of this year1. […]

Bayesian Semi-parametric Modeling of Functional Data Exploration into Major League Baseball Analytics

by

Jared Fisher and Dr. Gilbert Fellingham, Department of Statistics Most measurements follow trends over time, and those trends can be modeled. While there are many techniques for doing this, this project’s model brings a unique angle. This method can model trends with multiple peaks, from different subjects, and group them in clusters of similar curves. […]