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- Bayesian_experimental_design abstract "Bayesian experimental design provides a general probability-theoretical framework from which other theories on experimental design can be derived. It is based on Bayesian inference to interpret the observations/data acquired during the experiment. This allows accounting for both any prior knowledge on the parameters to be determined as well as uncertainties in observations.The theory of Bayesian experimental design is to a certain extent based on the theory for making optimal decisions under uncertainty. The aim when designing an experiment is to maximize the expected utility of the experiment outcome. The utility is most commonly defined in terms of a measure of the accuracy of the information provided by the experiment (e.g. the Shannon information or the negative variance), but may also involve factors such as the financial cost of performing the experiment. What will be the optimal experiment design depends on the particular utility criterion chosen.".
- Bayesian_experimental_design wikiPageExternalLink 1136.full.pdf.
- Bayesian_experimental_design wikiPageExternalLink 1177728069.
- Bayesian_experimental_design wikiPageExternalLink vandenBerg_etal2003.pdf.
- Bayesian_experimental_design wikiPageExternalLink info%3Adoi%2F10.1371%2Fjournal.pcbi.1002888.
- Bayesian_experimental_design wikiPageExternalLink tr95-04.pdf.
- Bayesian_experimental_design wikiPageExternalLink Chaloner%20Verdinelli.pdf.
- Bayesian_experimental_design wikiPageID "1706860".
- Bayesian_experimental_design wikiPageRevisionID "600778571".
- Bayesian_experimental_design hasPhotoCollection Bayesian_experimental_design.
- Bayesian_experimental_design subject Category:Bayesian_statistics.
- Bayesian_experimental_design subject Category:Design_of_experiments.
- Bayesian_experimental_design subject Category:Industrial_engineering.
- Bayesian_experimental_design subject Category:Information,_knowledge,_and_uncertainty.
- Bayesian_experimental_design subject Category:Operations_research.
- Bayesian_experimental_design subject Category:Optimal_decisions.
- Bayesian_experimental_design subject Category:Statistical_methods.
- Bayesian_experimental_design subject Category:Systems_engineering.
- Bayesian_experimental_design type Ability105616246.
- Bayesian_experimental_design type Abstraction100002137.
- Bayesian_experimental_design type Act100030358.
- Bayesian_experimental_design type Action100037396.
- Bayesian_experimental_design type Choice100161243.
- Bayesian_experimental_design type Cognition100023271.
- Bayesian_experimental_design type Decision100162632.
- Bayesian_experimental_design type Event100029378.
- Bayesian_experimental_design type Know-how105616786.
- Bayesian_experimental_design type Method105660268.
- Bayesian_experimental_design type OptimalDecisions.
- Bayesian_experimental_design type PsychologicalFeature100023100.
- Bayesian_experimental_design type StatisticalMethod106020737.
- Bayesian_experimental_design type StatisticalMethods.
- Bayesian_experimental_design type YagoPermanentlyLocatedEntity.
- Bayesian_experimental_design comment "Bayesian experimental design provides a general probability-theoretical framework from which other theories on experimental design can be derived. It is based on Bayesian inference to interpret the observations/data acquired during the experiment.".
- Bayesian_experimental_design label "Bayesian experimental design".
- Bayesian_experimental_design sameAs m.05pzt1.
- Bayesian_experimental_design sameAs Q4874469.
- Bayesian_experimental_design sameAs Q4874469.
- Bayesian_experimental_design sameAs Bayesian_experimental_design.
- Bayesian_experimental_design wasDerivedFrom Bayesian_experimental_design?oldid=600778571.
- Bayesian_experimental_design isPrimaryTopicOf Bayesian_experimental_design.