Corpus ID: 214612492

High-dimensional multivariate Geostatistics: A Bayesian Matrix-Normal Approach

@article{Zhang2020HighdimensionalMG,
  title={High-dimensional multivariate Geostatistics: A Bayesian Matrix-Normal Approach},
  author={L. Zhang and S. Banerjee and Andrew O. Finley},
  journal={arXiv: Methodology},
  year={2020}
}
  • L. Zhang, S. Banerjee, Andrew O. Finley
  • Published 2020
  • Mathematics
  • arXiv: Methodology
  • Joint modeling of spatially-oriented dependent variables are commonplace in the environmental sciences, where scientists seek to estimate the relationships among a set of environmental outcomes accounting for dependence among these outcomes and the spatial dependence for each outcome. Such modeling is now sought for very large data sets where the variables have been measured at a very large number of locations. Bayesian inference, while attractive for accommodating uncertainties through their… CONTINUE READING

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