Pages that link to "Item:Q959339"
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The following pages link to Approximate inference for disease mapping (Q959339):
Displaying 14 items.
- Approximate Bayesian inference for large spatial datasets using predictive process models (Q434887) (← links)
- Approximate Bayesian inference in spatial GLMM with skew normal latent variables (Q901561) (← links)
- Likelihood inference for models with unobservables: another view (Q907953) (← links)
- Empirical Bayes and fully Bayes procedures to detect high-risk areas in disease mapping (Q961731) (← links)
- On empirical Bayes penalized quasi-likelihood inference in GLMMs and in Bayesian disease mapping and ecological modeling (Q961732) (← links)
- The fuzzy approach to statistical analysis (Q1010344) (← links)
- Efficient and accurate approximate Bayesian inference with an application to insurance data (Q1023590) (← links)
- Rejoinder on: ``Some recent work on multivariate Gaussian Markov random fields'' (Q2414874) (← links)
- Prediction interval for disease mapping using hierarchical likelihood (Q2513337) (← links)
- Estimation in Bayesian Disease Mapping (Q3445325) (← links)
- A modification of the redistribution to the right algorithm using disease markers (Q4851503) (← links)
- Relative risk analysis of dengue cases using convolution extended into spatio-temporal model (Q5130364) (← links)
- Disease Mapping With Generative Models (Q5868186) (← links)
- Domain estimation under informative linkage (Q5880003) (← links)
