activity
20072023
most citedA hierarchical max-stable spatial model for extreme precipitation

168 citations · 768 across the 62 of their papers we have counts for

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Showing 2021 · stat.MEShow all

5 papers · 2 filters

stat.ME2021★ 3 cited

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…

stat.ME2021

The R2D2 Prior for Generalized Linear Mixed Models

Eric Yanchenko, Howard D. Bondell, Brian J. Reich

In Bayesian analysis, the selection of a prior distribution is typically done by considering each parameter in the model. While this can be convenient, in many scenarios it may be…

stat.ME2021

Estimating intervention effects on infectious disease control: the effect of community mobility reduction on Coronavirus spread

Andrew Giffin, Wenlong Gong, Suman Majumder +3

Understanding the effects of interventions, such as restrictions on community and large group gatherings, is critical to controlling the spread of COVID-19. Susceptible-Infectious-…

stat.ME2021★ 3 cited

Instrumental variables, spatial confounding and interference

Andrew Giffin, Brian J. Reich, Shu Yang +1

Unobserved spatial confounding variables are prevalent in environmental and ecological applications where the system under study is complex and the data are often observational. In…

stat.ME2021★ 12 cited

Bayesian Non-parametric Quantile Process Regression and Estimation of Marginal Quantile Effects

Steven G. Xu, Brian J. Reich

Flexible estimation of multiple conditional quantiles is of interest in numerous applications, such as studying the effect of pregnancy-related factors on low and high birth weight…