A General Framework for Vecchia Approximations of Gaussian Processes is a research paper published in Statistical Science (2020). On theSindex it has a DataRank of 0. It has been cited 180 times.
Scored on demand from live citation data
DataRank reads this dataset's downstream impact straight off the citation graph β no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
We only score data papers we can read in full β never from an abstract alone.
National Institutes of Health
Grant: 5R01ES027892-02
Data Integration Methods for Environmental Exposures with Applications to Air Pollution and Asthma Morbidity
National Science Foundation
Grant: 1107046
Collaborative Research: RNMS Statistical methods for atmospheric and oceanic sciences
National Science Foundation
Grant: 1521676
Statistical Analysis of Massive Spatio-Temporal Datasets Using Distributed Computing
FWCI
6.24
Citation Percentile
1.0%
Citation Trend
Fields of Study
Keywords
A general framework for Vecchia approximations of Gaussian processes