Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1154753 | Statistics & Probability Letters | 2014 | 6 Pages |
Abstract
Auto-logistic models are widely used to describe binary images texture and spatial presence-absence data. There exist some techniques, like Gibbs sampler algorithm among others, that allow simulating the process, but its performance depends on the model global properties at Z2. Under general conditions there will be at least a global distribution which conditionals are Gibbs specifications. The present work establishes sufficient conditions on the parameters of an auto-logistic model, in order to ensure the distribution's uniqueness.
Keywords
Related Topics
Physical Sciences and Engineering
Mathematics
Statistics and Probability
Authors
Valeria Rulloni,