Bayesian Spatial Modelling with Conjugate Prior Models
This book offers a comprehensive overview of statistical methodology for modelling and evaluating spatial variables useful in a variety of applications. These spatial variables fall into three categories: continuous, like terrain elevation; events, like tree locations; and mosaics, like medical imag...
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| Päätekijät: | , , |
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| Yhteisötekijä: | |
| Aineistotyyppi: | Elektroninen E-kirja |
| Kieli: | englanti |
| Julkaistu: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2024.
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| Painos: | 1st ed. 2024. |
| Aiheet: | |
| Linkit: | https://doi.org/10.1007/978-3-031-65418-3 |
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Sisällysluettelo:
- - Introduction
- Bayesian Spatial Modelling
- Conjugate Inversion Models
- Random Fields
- Part I Traditional Conjugate Spatial Models
- Likelihood Models
- Prior Models
- Posterior Models
- Model Parameter Inference
- Computational Challenges.