Matches in DBpedia 2016-04 for { <http://dbpedia.org/resource/Bayesian_hierarchical_modeling> ?p ?o }
Showing triples 1 to 40 of
40
with 100 triples per page.
- Bayesian_hierarchical_modeling abstract "Bayesian hierarchical modeling is a statistical model written in multiple levels (hierarchical form) that estimates the parameters of the posterior distribution using the Bayesian method. The sub-models combine to form the hierarchical model, and the Bayes’ theorem is used to integrate them with the observed data, and account for all the uncertainty that is present. The result of this integration is the posterior distribution, also known as the updated probability estimate, as additional evidence on the prior distribution is acquired.Frequentist statistics, the more popular foundation of statistics, has been known to contradict Bayesian statistics due to its treatment of the parameters as a random variable, and its use of subjective information in establishing assumptions on these parameters. However, Bayesians argue that relevant information regarding decision making and updating beliefs cannot be ignored and that hierarchical modeling has the potential to overrule classical methods in applications where respondents give multiple observational data. Moreover, the model has proven to be robust, with the posterior distribution less sensitive to the more flexible hierarchical priors.Hierarchical modeling is used when information is available on several different levels of observational units. The hierarchical form of analysis and organization helps in the understanding of multiparameter problems and also plays an important role in developing computational strategies.".
- Bayesian_hierarchical_modeling wikiPageID "42734031".
- Bayesian_hierarchical_modeling wikiPageLength "15682".
- Bayesian_hierarchical_modeling wikiPageOutDegree "23".
- Bayesian_hierarchical_modeling wikiPageRevisionID "708223962".
- Bayesian_hierarchical_modeling wikiPageWikiLink Adrian_Smith_(statistician).
- Bayesian_hierarchical_modeling wikiPageWikiLink Bayes_theorem.
- Bayesian_hierarchical_modeling wikiPageWikiLink Bayesian_inference.
- Bayesian_hierarchical_modeling wikiPageWikiLink Category:Bayesian_statistics.
- Bayesian_hierarchical_modeling wikiPageWikiLink Category:Statistical_models.
- Bayesian_hierarchical_modeling wikiPageWikiLink Conditional_probability.
- Bayesian_hierarchical_modeling wikiPageWikiLink Foundations_of_statistics.
- Bayesian_hierarchical_modeling wikiPageWikiLink Frequentist_inference.
- Bayesian_hierarchical_modeling wikiPageWikiLink Hyperparameter.
- Bayesian_hierarchical_modeling wikiPageWikiLink Hyperprior.
- Bayesian_hierarchical_modeling wikiPageWikiLink Mean.
- Bayesian_hierarchical_modeling wikiPageWikiLink Normal_distribution.
- Bayesian_hierarchical_modeling wikiPageWikiLink Parameter.
- Bayesian_hierarchical_modeling wikiPageWikiLink Permutation.
- Bayesian_hierarchical_modeling wikiPageWikiLink Posterior_probability.
- Bayesian_hierarchical_modeling wikiPageWikiLink Prior_probability.
- Bayesian_hierarchical_modeling wikiPageWikiLink Random_variable.
- Bayesian_hierarchical_modeling wikiPageWikiLink Robust_statistics.
- Bayesian_hierarchical_modeling wikiPageWikiLink Sampling_distribution.
- Bayesian_hierarchical_modeling wikiPageWikiLink Statistical_model.
- Bayesian_hierarchical_modeling wikiPageWikiLink Variance.
- Bayesian_hierarchical_modeling wikiPageWikiLinkText "Bayesian hierarchical modeling".
- Bayesian_hierarchical_modeling wikiPageWikiLinkText "hierarchical models".
- Bayesian_hierarchical_modeling wikiPageUsesTemplate Template:Reflist.
- Bayesian_hierarchical_modeling subject Category:Bayesian_statistics.
- Bayesian_hierarchical_modeling subject Category:Statistical_models.
- Bayesian_hierarchical_modeling hypernym Model.
- Bayesian_hierarchical_modeling type Person.
- Bayesian_hierarchical_modeling comment "Bayesian hierarchical modeling is a statistical model written in multiple levels (hierarchical form) that estimates the parameters of the posterior distribution using the Bayesian method. The sub-models combine to form the hierarchical model, and the Bayes’ theorem is used to integrate them with the observed data, and account for all the uncertainty that is present.".
- Bayesian_hierarchical_modeling label "Bayesian hierarchical modeling".
- Bayesian_hierarchical_modeling sameAs Q17100952.
- Bayesian_hierarchical_modeling sameAs m.010r5m5s.
- Bayesian_hierarchical_modeling sameAs Q17100952.
- Bayesian_hierarchical_modeling wasDerivedFrom Bayesian_hierarchical_modeling?oldid=708223962.
- Bayesian_hierarchical_modeling isPrimaryTopicOf Bayesian_hierarchical_modeling.