摘要：One of the perceived strengths of Bayesian modelling is the ability to
include prior information. Although objective or noninformative priors might be
preferred in some situations, in many other applications the Bayesian framework
o
ers a real opportunity to formally combine data with information available from
experts. The question addressed in this paper is how to elicit this information in a
form suitable for prior modelling. Particular attention is paid to geographic data
for which maps might be used to assist in the elicitation. Two case studies are
used to illustrate the methodology: estimation of city house prices and prediction
of presence of a rare species.
