Pages that link to "Item:Q626215"
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The following pages link to Bayesian modeling on continuously marked spatial point patterns (Q626215):
Displaying 12 items.
- A Bayesian approach to fitting Gibbs processes with temporal random effects (Q484712) (← links)
- Bayesian modelling of spatial data using Markov random fields, with application to elemental composition of forest soil (Q862444) (← links)
- Bayesian analysis of a Gibbs hard-core point pattern model with varying repulsion range (Q1621330) (← links)
- Bayesian inference and model assessment for spatial point patterns using posterior predictive samples (Q1699636) (← links)
- A Bayesian mark interaction model for analysis of tumor pathology images (Q2281215) (← links)
- A Bayesian hierarchical point process model for epidermal nerve fiber patterns (Q2328426) (← links)
- Bayesian mapping of lichens growing on trees (Q2765590) (← links)
- Non-parametric Bayesian inference for inhomogeneous Markov point processes (Q2810356) (← links)
- A Sequential Point Process Model and Bayesian Inference for Spatial Point Patterns with Linear Structures (Q3145558) (← links)
- Poisson/gamma random field models for spatial statistics (Q4212761) (← links)
- Hierarchical probability models and Bayesian analysis of mine locations (Q4507941) (← links)
- Analysing Multivariate Spatial Point Processes with Continuous Marks: A Graphical Modelling Approach (Q6086605) (← links)
