Local scoring rules for spatial processes
MUSIO, MONICA
2011-01-01
Abstract
We display pseudo-likelihood as a special case of a general estimation technique based on proper scoring rules. Such a rule supplies an unbiased estimating equation for any statistical model, and this can be extended to allow for missing data. When the scoring rule has a simple local structure, as in many spatial models, the need to compute problematic normalising constants is avoided. We illustrate the approach through an analysis of data on disease in bell pepper plants.File | Size | Format | |
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Spatial2Dawid-Musio.pdf open access
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339.3 kB | Adobe PDF | View/Open |
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