Bayesian modeling on continuously marked spatial point patterns (Q626215)
From MaRDI portal
 | This is the item page for this Wikibase entity, intended for internal use and editing purposes. Please use this page instead for the normal view: Bayesian modeling on continuously marked spatial point patterns |
scientific article; zbMATH DE number 5855590
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Bayesian modeling on continuously marked spatial point patterns |
scientific article; zbMATH DE number 5855590 |
Statements
Bayesian modeling on continuously marked spatial point patterns (English)
0 references
22 February 2011
0 references
Gibbs marked point processes on \(\mathbb R^2\) are discussed as priors for spatial point pattern models. Reversible jump Markov chain Monte Carlo algorithms are described for sampling a posteriori. An analysis of a Norway spruce forest data set is presented.
0 references
sampling from posterior
0 references
reversible jump Markov chain Monte Carlo
0 references
Gibbs marked point process
0 references
0 references
0 references
0 references
