Pages that link to "Item:Q3195218"
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The following pages link to Bayesian hierarchical models for detecting boundaries in areally referenced spatial datasets (Q3195218):
Displaying 14 items.
- Diagnosing Glaucoma Progression with Visual Field Data Using a Spatiotemporal Boundary Detection Method (Q97699) (← links)
- Spatial product partition models (Q516459) (← links)
- Comparing spatial counts characterizing human mobility using ratio maps (Q896599) (← links)
- Bayesian areal wombling using false discovery rates (Q1708913) (← links)
- A Bayesian approach to disease clustering using restricted Chinese restaurant processes (Q2180068) (← links)
- Optimal spatial aggregation of space-time models and applications (Q2305309) (← links)
- An area-specific stick breaking process for spatial data (Q2633423) (← links)
- Spatial Boundary Detection for Areal Counts (Q2800207) (← links)
- Hierarchical and Joint Site-Edge Methods for Medicare Hospice Service Region Boundary Analysis (Q3576909) (← links)
- Spatial Bayesian modeling of GLCM with application to malignant lesion characterization (Q5036500) (← links)
- Multiscale decomposition of spatial lattice data for hotspot detection (Q6558643) (← links)
- Bayesian Modeling with Spatial Curvature Processes (Q6567909) (← links)
- Discussion of ``Optimal test procedures for multiple hypotheses controlling the familywise expected loss'' by Willi Maurer, Frank Bretz, and Xiaolei Xun (Q6589213) (← links)
- Relative rate of change in cognitive score network dynamics via Bayesian hierarchical models reveal spatial patterns of neurodegeneration (Q6627539) (← links)