64 citations · 201 across the 34 of their papers we have counts for
3 papers · 1 filter
A Divide-and-Conquer Bayesian Approach to Large-Scale Kriging
Rajarshi Guhaniyogi, Cheng Li, Terrance D. Savitsky +1
We propose a three-step divide-and-conquer strategy within the Bayesian paradigm that delivers massive scalability for any spatial process model. We partition the data into a large…
Bayesian Pairwise Estimation Under Dependent Informative Sampling
Matthew R. Williams, Terrance D. Savitsky
An informative sampling design leads to the selection of units whose inclusion probabilities are correlated with the response variable of interest. Model inference performed on the…
Fully Bayesian Estimation Under Informative Sampling
Luis G. Leon-Novelo, Terrance D. Savitsky
Bayesian estimation is increasingly popular for performing model based inference to support policymaking. These data are often collected from surveys under informative sampling des…