|Present||Assistant Professor, Iowa State University ‐ Department of Statistics|
- Stat 615, Advanced Bayesian Methods
2438 Osborn Dr
Ames, IA 50011-1090
Peer-Reviewed Articles (13)
Prairie strips improve biodiversity and the delivery of multiple ecosystem ...
Proceedings of the National Academy of Sciences (2017)
Loss of biodiversity and degradation of ecosystem services from agricultural lands remain important challenges in the United States despite decades ...
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 ...