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- Hyperparameter abstract "In Bayesian statistics, a hyperparameter is a parameter of a prior distribution; the term is used to distinguish them from parameters of the model for the underlying system under analysis.For example, if one is using a beta distribution to model the distribution of the parameter p of a Bernoulli distribution, then: p is a parameter of the underlying system (Bernoulli distribution), and α and β are parameters of the prior distribution (beta distribution), hence hyperparameters.One may take a single value for a given hyperparameter, or one can iterate and take a probability distribution on the hyperparameter itself, called a hyperprior.".
- Hyperparameter wikiPageID "11641585".
- Hyperparameter wikiPageRevisionID "597617218".
- Hyperparameter hasPhotoCollection Hyperparameter.
- Hyperparameter subject Category:Bayesian_statistics.
- Hyperparameter subject Category:Sensitivity_analysis.
- Hyperparameter subject Category:Statistical_terminology.
- Hyperparameter comment "In Bayesian statistics, a hyperparameter is a parameter of a prior distribution; the term is used to distinguish them from parameters of the model for the underlying system under analysis.For example, if one is using a beta distribution to model the distribution of the parameter p of a Bernoulli distribution, then: p is a parameter of the underlying system (Bernoulli distribution), and α and β are parameters of the prior distribution (beta distribution), hence hyperparameters.One may take a single value for a given hyperparameter, or one can iterate and take a probability distribution on the hyperparameter itself, called a hyperprior.".
- Hyperparameter label "Hyperparameter".
- Hyperparameter label "Iperparametro".
- Hyperparameter sameAs Iperparametro.
- Hyperparameter sameAs m.02rmg8b.
- Hyperparameter sameAs Q4171168.
- Hyperparameter sameAs Q4171168.
- Hyperparameter wasDerivedFrom Hyperparameter?oldid=597617218.
- Hyperparameter isPrimaryTopicOf Hyperparameter.