Gaussian Orthogonal Latent Factor Processes for Large Incomplete Matrices of Correlated Data is a research paper published in Bayesian Analysis (2022). On theSindex it has a DataRank of 0. It has been cited 8 times.
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National Science Foundation
Grant: 2053423
Collaborative Research: Fusing Massive Disparate Data and Fast Surrogate Models for Probabilistic Quantification of Uncertain Hazards
National Institutes of Health
Grant: 5R01DK130067-03
Early detection, containment, and management of COVID-19 in dialysis facilities using multi-modal data sources
FWCI
0.37
Citation Percentile
0.5%
Citation Trend
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