Fast Bayesian Classification for Disease Mapping and the Detection of Disease Clusters
Gespeichert in:
| Veröffentlicht in: | Quantitative methods in environmental and climate research |
|---|---|
| 1. Verfasser: | |
| Weitere Verfasser: | , |
| Format: | UnknownFormat |
| Sprache: | eng |
| Veröffentlicht: |
2018
|
| Schlagworte: | |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Tag hinzufügen | Titel | Jahr | Verfasser |
|---|---|---|
| Detection of Change Points in Spatiotemporal Data in the Presence of Outliers and Heavy-Tailed Observations | 2018 | Sun, Bin |
| A Spatiotemporal Approach for Predicting Wind Speed Along the Coast of Valparaiso, Chile | 2018 | Nicolis, Orietta |
| Modeling Spatiotemporal Mismatch for Aerosol Profiles | 2018 | Negri, Ilia |
| Spatiotemporal Precipitation Variability Modeling in the Blue Nile Basin: 1998—2016 | 2018 | Abdelfattah, Yasmine M. |
| A Novel Hierarchical Multinomial Approach to Modeling Age-Specific Harvest Data | 2018 | Nadeem, Khurram |
| Fast Bayesian Classification for Disease Mapping and the Detection of Disease Clusters | 2018 | Gómez-Rubio, V. |
| A Hidden Markov Random Field with Copula-Based Emission Distributions for the Analysis of Spatial Cylindrical Data | 2018 | Lagona, Francesco |