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Incorporating Subsampling into Bayesian Models for High-Dimensional
  Spatial Data

Incorporating Subsampling into Bayesian Models for High-Dimensional Spatial Data

22 May 2023
Saumajit Saha
J. Bradley
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Papers citing "Incorporating Subsampling into Bayesian Models for High-Dimensional Spatial Data"

4 / 4 papers shown
Title
Markov Random Fields with Proximity Constraints for Spatial Data
Markov Random Fields with Proximity Constraints for Spatial Data
Sudipto Saha
J. Bradley
13
0
0
17 Oct 2024
Stochastic Gradient MCMC for Massive Geostatistical Data
Stochastic Gradient MCMC for Massive Geostatistical Data
M. Abba
Brian J. Reich
Reetam Majumder
Brandon Feng
23
1
0
07 May 2024
Minibatch Markov chain Monte Carlo Algorithms for Fitting Gaussian
  Processes
Minibatch Markov chain Monte Carlo Algorithms for Fitting Gaussian Processes
Matthew J. Heaton
Jacob A. Johnson
10
1
0
26 Oct 2023
Local Gaussian process approximation for large computer experiments
Local Gaussian process approximation for large computer experiments
R. Gramacy
D. Apley
127
391
0
02 Mar 2013
1