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Bayesian nonstationary and nonparametric covariance estimation for large
  spatial data

Bayesian nonstationary and nonparametric covariance estimation for large spatial data

Bayesian Analysis (BA), 2020
10 December 2020
Brian Kidd
Matthias Katzfuss
ArXiv (abs)PDFHTML

Papers citing "Bayesian nonstationary and nonparametric covariance estimation for large spatial data"

4 / 4 papers shown
Learning non-Gaussian spatial distributions via Bayesian transport maps with parametric shrinkage
Learning non-Gaussian spatial distributions via Bayesian transport maps with parametric shrinkageJournal of Agricultural Biological and Environmental Statistics (JABES), 2024
Anirban Chakraborty
Matthias Katzfuss
OT
346
2
0
28 Sep 2024
Radial Neighbors for Provably Accurate Scalable Approximations of
  Gaussian Processes
Radial Neighbors for Provably Accurate Scalable Approximations of Gaussian ProcessesBiometrika (Biometrika), 2022
Yicheng Zhu
M. Peruzzi
Cheng Li
David B. Dunson
314
8
0
27 Nov 2022
Correlation-based sparse inverse Cholesky factorization for fast
  Gaussian-process inference
Correlation-based sparse inverse Cholesky factorization for fast Gaussian-process inferenceStatistics and computing (Stat Comput), 2021
Myeong K. Kang
Matthias Katzfuss
338
32
0
29 Dec 2021
Scalable Bayesian transport maps for high-dimensional non-Gaussian
  spatial fields
Scalable Bayesian transport maps for high-dimensional non-Gaussian spatial fieldsJournal of the American Statistical Association (JASA), 2021
Matthias Katzfuss
Florian Schafer
OT
560
24
0
09 Aug 2021
1
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