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Multi-Level Restricted Maximum Likelihood Covariance Estimation and
  Kriging for Large Non-Gridded Spatial Datasets
v1v2 (latest)

Multi-Level Restricted Maximum Likelihood Covariance Estimation and Kriging for Large Non-Gridded Spatial Datasets

Spatial Statistics (Spat. Stat.), 2015
1 April 2015
J. Castrillón-Candás
M. Genton
Rio Yokota
ArXiv (abs)PDFHTML

Papers citing "Multi-Level Restricted Maximum Likelihood Covariance Estimation and Kriging for Large Non-Gridded Spatial Datasets"

9 / 9 papers shown
Scalable Physics-based Maximum Likelihood Estimation using Hierarchical
  Matrices
Scalable Physics-based Maximum Likelihood Estimation using Hierarchical Matrices
Yian Chen
M. Anitescu
265
8
0
17 Mar 2023
Stochastic Functional Analysis and Multilevel Vector Field Anomaly
  Detection
Stochastic Functional Analysis and Multilevel Vector Field Anomaly Detection
J. Castrillón-Candás
Mark A. Kon
203
5
0
11 Jul 2022
Multilevel Stochastic Optimization for Imputation in Massive Medical
  Data Records
Multilevel Stochastic Optimization for Imputation in Massive Medical Data Records
Wenrui Li
Xiaoyu Wang
Y. Sun
S. Milanović
Mark A. Kon
J. Castrillón-Candás
319
6
0
19 Oct 2021
Change Detection: A functional analysis perspective
Change Detection: A functional analysis perspective
J. Castrillón-Candás
Mark A. Kon
185
7
0
16 Dec 2020
Scalable Gaussian Process Computations Using Hierarchical Matrices
Scalable Gaussian Process Computations Using Hierarchical Matrices
Christopher J. Geoga
M. Anitescu
Michael L. Stein
266
49
0
09 Aug 2018
HLIBCov: Parallel Hierarchical Matrix Approximation of Large Covariance
  Matrices and Likelihoods with Applications in Parameter Identification
HLIBCov: Parallel Hierarchical Matrix Approximation of Large Covariance Matrices and Likelihoods with Applications in Parameter Identification
A. Litvinenko
200
3
0
24 Sep 2017
Likelihood Approximation With Hierarchical Matrices For Large Spatial
  Datasets
Likelihood Approximation With Hierarchical Matrices For Large Spatial Datasets
A. Litvinenko
Ying Sun
M. Genton
David E. Keyes
194
55
0
08 Sep 2017
ExaGeoStat: A High Performance Unified Software for Geostatistics on
  Manycore Systems
ExaGeoStat: A High Performance Unified Software for Geostatistics on Manycore SystemsIEEE Transactions on Parallel and Distributed Systems (IEEE TPDS), 2017
Sameh Abdulah
Hatem Ltaief
Ying Sun
M. Genton
David E. Keyes
207
75
0
09 Aug 2017
Spatial best linear unbiased prediction: A computational mathematics
  approach for high dimensional massive datasets
Spatial best linear unbiased prediction: A computational mathematics approach for high dimensional massive datasetsAdvances in Computational Mathematics (Adv. Comput. Math.), 2017
J. Castrillón-Candás
158
0
0
01 Jan 2017
1
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