Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 35-44 |
| Number of pages | 10 |
| Journal | Test |
| Volume | 24 |
| Issue number | 1 |
| Early online date | 29 Nov 2014 |
| DOIs | |
| Publication status | Published - Mar 2015 |
Keywords / Materials (for Non-textual outputs)
- Local model selection
- Non-stationarity
- Predictive scoring rules
- Stochastic partial differential equation
- Stochastic spatial models
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