loading...| Preferred Name | Bayesian model | |
| Synonyms |
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| Definitions |
a Bayesian model is a statistical model where inference is based on using Bayes theorem to obtain a posterior distribution for a quantity (or quantities) of interest for some model (such as parameter values) based on some prior distribution for the relevant unknown parameters and the likelihood from the model. |
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| ID |
http://purl.obolibrary.org/obo/STATO_0000530 |
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| alternative term | ||
| declares | ||
| definition |
a Bayesian model is a statistical model where inference is based on using Bayes theorem to obtain a posterior distribution for a quantity (or quantities) of interest for some model (such as parameter values) based on some prior distribution for the relevant unknown parameters and the likelihood from the model. |
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| definition source |
adapted from several sources: Oxford Dictionary of Statistics: 10.1093/acref/9780199541454.001.0001 http://www.scholarpedia.org/article/Bayesian_statistics https://stats.stackexchange.com/questions/129017/what-exactly-is-a-bayesian-model |
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| example of usage | ||
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| is about | ||
| label |
Bayesian model |
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| prefixIRI |
STATO:0000530 |
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| prefLabel |
Bayesian model |
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| R command | ||
| STATO alternative term | ||
| term editor |
Philippe Rocca-Serra |
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| textual definition |
a Bayesian model is a statistical model where inference is based on using Bayes theorem to obtain a posterior distribution for a quantity (or quantities) of interest for some model (such as parameter values) based on some prior distribution for the relevant unknown parameters and the likelihood from the model. |
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| subClassOf |