2 citations · 2 across the 2 of their papers we have counts for
3 papers
Approximate Bayesian Inference via Sparse grid Quadrature Evaluation for Hierarchical Models
Joshua Hewitt, Jennifer A. Hoeting
We combine conditioning techniques with sparse grid quadrature rules to develop a computationally efficient method to approximate marginal, but not necessarily univariate, posterio…
Improved return level estimation via a weighted likelihood, latent spatial extremes model
Joshua Hewitt, Miranda J. Fix, Jennifer A. Hoeting +1
Uncertainty in return level estimates for rare events, like the intensity of large rainfall events, makes it difficult to develop strategies to mitigate related hazards, like flood…
Remote effects spatial process models for modeling teleconnections
Joshua Hewitt, Jennifer A. Hoeting, James Done +1
While most spatial data can be modeled with the assumption that distant points are uncorrelated, some problems require dependence at both far and short distances. We introduce a mo…