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1. On Block Updating in Markov Random Field Models for Disease Mapping


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2. Conditional Prior Proposals in Dynamic Models


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3. A hierarchical model for space-time surveillance data on meningococcal disease incidence


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4. Book reviews


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5. A shared component model for detecting joint and selective clustering of two diseases


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6. Dynamic cumulative probit models for ordinal panel-data; A Bayesian analysis by Gibbs sampling

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7. Conditional prior proposals in dynamic models

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8. Bayesian Modelling of Inseparable Space-Time Variation in Disease Risk

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9. Dynamic Rating of Sports Teams

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10. Bayesian Modelling of Inseparable Space-Time Variation in Disease Risk

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