Improving the performance of predictive process modeling for large datasets

@article{Finley2009ImprovingTP,
  title={Improving the performance of predictive process modeling for large datasets},
  author={Andrew O. Finley and Huiyan Sang and Sudipto Banerjee and Alan E. Gelfand},
  journal={Computational statistics & data analysis},
  year={2009},
  volume={53 8},
  pages={
          2873-2884
        }
}
Advances in Geographical Information Systems (GIS) and Global Positioning Systems (GPS) enable accurate geocoding of locations where scientific data are collected. This has encouraged collection of large spatial datasets in many fields and has generated considerable interest in statistical modeling for location-referenced spatial data. The setting where the number of locations yielding observations is too large to fit the desired hierarchical spatial random effects models using Markov chain… CONTINUE READING

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