6 citations · 19 across the 5 of their papers we have counts for
6 papers
Fast increased fidelity approximate Gibbs samplers for Bayesian Gaussian process regression
Kelly R. Moran, Matthew W. Wheeler
The use of Gaussian processes (GPs) is supported by efficient sampling algorithms, a rich methodological literature, and strong theoretical grounding. However, due to their prohibi…
Bayesian joint modeling of chemical structure and dose response curves
Kelly R. Moran, David Dunson, Matthew W. Wheeler +1
Today there are approximately 85,000 chemicals regulated under the Toxic Substances Control Act, with around 2,000 new chemicals introduced each year. It is impossible to screen al…
Bayesian Stacked Parametric Survival with Frailty Components and Interval Censored Failure Times
Matthew W. Wheeler, Joost Westerhout, Joe L. Baumert +1
To better understand effects of exposure to food allergens, food challenge studies are designed to slowly increase the dose of an allergen delivered to allergic individuals until a…
Bayesian Additive Adaptive Basis Tensor Product Models for Modeling High Dimensional Surfaces: An application to high-throughput toxicity testing
Matthew W. Wheeler
Many modern data sets are sampled with error from complex high-dimensional surfaces. Methods such as tensor product splines or Gaussian processes are effective/well suited for char…
Bayesian Local Extrema Splines
Matthew W. Wheeler, David B. Dunson, Amy H. Herring
We consider the problem of shape restricted nonparametric regression on a closed set X ?\in R; where it is reasonable to assume the function has no more than H local extrema interi…
Efficient Bayesian inference in stochastic chemical kinetic models using graphical processing units
Jarad Niemi, Matthew Wheeler
A goal of systems biology is to understand the dynamics of intracellular systems. Stochastic chemical kinetic models are often utilized to accurately capture the stochastic nature…