13 citations · 19 across the 5 of their papers we have counts for
4 papers · 1 filter
Stochastic Gradient MCMC for Massive Geostatistical Data
Mohamed A. Abba, Brian J. Reich, Reetam Majumder +1
Gaussian processes (GPs) are commonly used for prediction and inference for spatial data analyses. However, since estimation and prediction tasks have cubic time and quadratic memo…
A Gaussian-process approximation to a spatial SIR process using moment closures and emulators
Parker Trostle, Joseph Guinness, Brian J. Reich
The dynamics that govern disease spread are hard to model because infections are functions of both the underlying pathogen as well as human or animal behavior. This challenge is in…
Monitoring Deforestation Using Multivariate Bayesian Online Changepoint Detection with Outliers
Laura J. Wendelberger, Josh M. Gray, Brian J. Reich +1
Near real time change detection is important for a variety of Earth monitoring applications and remains a high priority for remote sensing science. Data sparsity, subtle changes, s…
A nonparametric Bayesian test of dependence
Yimin Kao, Brian J Reich, Howard D Bondell
In this article, we propose a new method for the fundamental task of testing for dependence between two groups of variables. The response densities under the null hypothesis of ind…