Kryging: geostatistical analysis of large-scale datasets using Krylov subspace methods is a research paper published in Statistics and Computing (2022). On theSindex it has a DataRank of 0.391. It has been cited 5 times, with 4 citing works in its 1-hop citation network.
Scored on demand from live citation data
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Base Score Contribution
0.269
From this paper's citation signal
Citation Network Contribution
0.122
From 4 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 4 citers.
national science foundation
Grant: DMS-1845406
national science foundation
Grant: DMS-1638521
national institutes of health
Grant: R01ES031651-01
national institutes of health
Grant: R01ES027892
king abdullah university of science and technology
Grant: 3800.2
National Science Foundation
Grant: 1845406
CAREER: Fast and Accurate Algorithms for Uncertainty Quantification in Large-Scale Inverse Problems
National Institutes of Health
Grant: 5R01ES031651-04
Spatial Causal Inference for Wildland Fire Smoke Effects on Air Pollution and Health
National Institutes of Health
Grant: 1R01ES031651-01
Spatial Causal Inference for Wildland Fire Smoke Effects on Air Pollution and Health
National Institutes of Health
Grant: 5R01ES027892-02
Data Integration Methods for Environmental Exposures with Applications to Air Pollution and Asthma Morbidity
Fields of Study
Keywords