Large spatial data sets require innovative techniques for computationally efficient statistical estimation. In this comment some aspects of local predictor selection are explored, with a view towards spatially coherent field prediction and uncertainty quantification.
|Early online date||29 Nov 2014|
|Publication status||Published - Mar 2015|
- Local model selection
- Predictive scoring rules
- Stochastic partial differential equation
- Stochastic spatial models