|Present||Assistant Professor, Iowa State University ‐ Department of Statistics|
- Stat 615, Advanced Bayesian Methods
2438 Osborn Dr
Ames, IA 50011-1090
Peer-Reviewed Articles (12)
Massively Parallel Approximate Gaussian Process Regression
SIAM/ASA Journal on Uncertainty Quantification (2014)
We explore how the big-three computing paradigms---symmetric multiprocessor, graphical processing units (GPUs), and cluster computing---can together be brought to bear ...
Adaptive Mixture Modelling Metropolis Methods for Bayesian Analysis of Non-linear ...
Journal of Computational and Graphical Statistics (2010)
statespacemodels involving batch analysis for inference on dynamic, latent state variables and fixedmodel parameters. The key innovation is a Metropolis-Hastings ...
Book Chapters (1)
Contribution to Book
Linear Regression, Model Averaging, and Bayesian Techniques for Predicting Chemical ...
Advances in Mathematical Chemistry and Applications (2016)
A primary goal of quantitative structure-activity relationships (QSARs) and quantitative structure-property relationships (QSPRs) is to predict chemical activities from chemical ...