nimblewomble: An R package for Bayesian Wombling with nimble
Fuente:
arXiv
Salvato in:
| Autori principali: | , |
|---|---|
| Natura: | Preprint |
| Pubblicazione: |
2025
|
| Soggetti: | |
| Accesso online: | |
| Tags: |
Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
|
| _version_ | 1866916683611897856 |
|---|---|
| author | Halder, Aritra Banerjee, Sudipto |
| author_facet | Halder, Aritra Banerjee, Sudipto |
| contents | This exposition presents nimblewomble, a software package to perform wombling, or boundary analysis, using the nimble Bayesian hierarchical modeling language in the R statistical computing environment. Wombling is used widely to track regions of rapid change within the spatial reference domain. Specific functions in the package implement Gaussian process models for point-referenced spatial data followed by predictive inference on rates of change over curves using line integrals. We demonstrate model based Bayesian inference using posterior distributions featuring simple analytic forms while offering uncertainty quantification over curves. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_07673 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | nimblewomble: An R package for Bayesian Wombling with nimble Halder, Aritra Banerjee, Sudipto Computation Methodology This exposition presents nimblewomble, a software package to perform wombling, or boundary analysis, using the nimble Bayesian hierarchical modeling language in the R statistical computing environment. Wombling is used widely to track regions of rapid change within the spatial reference domain. Specific functions in the package implement Gaussian process models for point-referenced spatial data followed by predictive inference on rates of change over curves using line integrals. We demonstrate model based Bayesian inference using posterior distributions featuring simple analytic forms while offering uncertainty quantification over curves. |
| title | nimblewomble: An R package for Bayesian Wombling with nimble |
| topic | Computation Methodology |
| url | https://arxiv.org/abs/2504.07673 |