Examples of Bayesian

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Bayesian methods might usefully be classified into three main types, dependent on the approach to prior information.
Bayesian analysis provides a rational basis for the qualitative form of set-theoretic models of similarity.
Bayesian methods for estimating pathogen prevalence within groups of animals from faecal-pat sampling.
Bayesian approaches for monitoring clinical trials with an application to toxoplasmic encephalitis prophylaxis.
Bayesian mapping of quantitative trait loci under complicated mating designs.
Bayesian decision theory operates under the fiction that in any decisionmaking situation the agent is simply given the options from which he is to choose.
Bayesian networks have several advantages over other diagnostic methods.
Bayesian model choice and search strategies for mapping interacting quantitative trait loci.
Bayesian inference on range for one locus is obtained by assuming that constraints on range values exist as sharp bounds.
Bayesian assignment to panmictic populations general problems associated with inferring an unknown partition of a set.
Bayesian statistics leads to contrastive hypothesis testing as well.
Bayesian methods are a class of statistical methods in which parameters are assigned a distribution.
Bayesian applications are especially useful in studies involving multiple endpoints, which are common in clinical studies.
Bayesian versus frequentist analysis of multiple quantitative trait loci with an application to an outbred apple cross.
Bayesian inference networks have proved very signi®cant in the domain of information retrieval.
Bayesian approaches have been used to enable conditional probabilities to be used.

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