5 papers · 1 filter
Bayesian Modeling of Incompatible Spatial Data: A Case Study Involving Post-Adrian Storm Forest Damage Assessment
Lu Zhang, Andrew O. Finley, Arne Nothdurft +1
Modeling incompatible spatial data, i.e., data with different spatial resolutions, is a pervasive challenge in remote sensing data analysis. Typical approaches to addressing this c…
Bayesian Hierarchical Modeling and Inference for Mechanistic Systems in Industrial Hygiene
Soumyakanti Pan, Darpan Das, Gurumurthy Ramachandran +1
A series of experiments in stationary and moving passenger rail cars were conducted to measure removal rates of particles in the size ranges of SARS-CoV-2 viral aerosols, and the a…
Finite Population Survey Sampling: An Unapologetic Bayesian Perspective
Sudipto Banerjee
This article attempts to offer some perspectives on Bayesian inference for finite population quantities when the units in the population are assumed to exhibit complex dependencies…
Bayesian Geostatistics Using Predictive Stacking
Lu Zhang, Wenpin Tang, Sudipto Banerjee
We develop Bayesian predictive stacking for geostatistical models, where the primary inferential objective is to provide inference on the latent spatial random field and conduct sp…
Bayesian Models for Multivariate Difference Boundary Detection in Areal Data
Leiwen Gao, Sudipto Banerjee, Beate Ritz
Regional aggregates of health outcomes over delineated administrative units (e.g., states, counties, zip codes), or areal units, are widely used by epidemiologists to map mortality…