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A class of multi-resolution approximations for large spatial datasets

A class of multi-resolution approximations for large spatial datasets

24 October 2017
Matthias Katzfuss
Wenlong Gong
    GP
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Papers citing "A class of multi-resolution approximations for large spatial datasets"

6 / 6 papers shown
Title
When the whole is greater than the sum of its parts: Scaling black-box inference to large data settings through divide-and-conquer
When the whole is greater than the sum of its parts: Scaling black-box inference to large data settings through divide-and-conquer
Emily C. Hector
Amanda Lenzi
41
1
0
31 Dec 2024
Distributed model building and recursive integration for big spatial
  data modeling
Distributed model building and recursive integration for big spatial data modeling
Emily C. Hector
Brian J. Reich
A. Eloyan
33
3
0
25 May 2023
Scaled Vecchia approximation for fast computer-model emulation
Scaled Vecchia approximation for fast computer-model emulation
Matthias Katzfuss
J. Guinness
E. Lawrence
14
40
0
01 May 2020
Sparse Cholesky factorization by Kullback-Leibler minimization
Sparse Cholesky factorization by Kullback-Leibler minimization
Florian Schäfer
Matthias Katzfuss
H. Owhadi
19
92
0
29 Apr 2020
Vecchia-Laplace approximations of generalized Gaussian processes for big
  non-Gaussian spatial data
Vecchia-Laplace approximations of generalized Gaussian processes for big non-Gaussian spatial data
Daniel Zilber
Matthias Katzfuss
19
34
0
18 Jun 2019
Multi-resolution filters for massive spatio-temporal data
Multi-resolution filters for massive spatio-temporal data
M. Jurek
Matthias Katzfuss
14
24
0
09 Oct 2018
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