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Bayesian nonstationary and nonparametric covariance estimation for large
  spatial data

Bayesian nonstationary and nonparametric covariance estimation for large spatial data

10 December 2020
Brian Kidd
Matthias Katzfuss
ArXivPDFHTML

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

4 / 4 papers shown
Title
Learning non-Gaussian spatial distributions via Bayesian transport maps with parametric shrinkage
Learning non-Gaussian spatial distributions via Bayesian transport maps with parametric shrinkage
Anirban Chakraborty
Matthias Katzfuss
OT
28
1
0
28 Sep 2024
Radial Neighbors for Provably Accurate Scalable Approximations of
  Gaussian Processes
Radial Neighbors for Provably Accurate Scalable Approximations of Gaussian Processes
Yicheng Zhu
M. Peruzzi
Cheng Li
David B. Dunson
34
4
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 inference
Myeong K. Kang
Matthias Katzfuss
15
23
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 fields
Matthias Katzfuss
Florian Schafer
OT
32
14
0
09 Aug 2021
1