Notes
Notes
- Introduction to spatial statistics
- Geostatistical models – Part 1
- Geostatistical models – Part 2
- Geostatistical models – Part 3
- Geostatistical estimation – Part 1
- Geostatistical estimation – Part 2
- Spatial prediction
- Bayesian Kriging – Part I
- Bayesian Kriging – Part 2
- Spatial generalized linear models
- Spatial design
- Methods to deal with large datasets
- Spatiotemporal models
- Multivariate models
- Areal data
- Areal data models
- Spatial point pattern data – Part 1
- Spatial point pattern data – Part 2 (Link to panel about cancer clusters)
- Spatial point pattern models
Lab activities
- Geostatistical models
- Geostatistical estimation – Part 1
- Geostatistical estimation – Part 2
- Spatial prediction
- Bayesian Kriging
- Bayes GLMs
- Design and big data
- Multivariate and spatiotemporal
- Areal data
- Spatial point pattern data – Part 1
- Spatial point pattern data – Part 2
- Spatiotemporal SIR modeling