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- Prior_probability abstract "In Bayesian statistical inference, a prior probability distribution, often called simply the prior, of an uncertain quantity p is the probability distribution that would express one's uncertainty about p before some evidence is taken into account. For example, p could be the proportion of voters who will vote for a particular politician in a future election. It is meant to attribute uncertainty rather than randomness to the uncertain quantity. The unknown quantity may be a parameter or latent variable.One applies Bayes' theorem, multiplying the prior by the likelihood function and then normalizing, to get the posterior probability distribution, which is the conditional distribution of the uncertain quantity given the data.A prior is often the purely subjective assessment of an experienced expert. Some will choose a conjugate prior when they can, to make calculation of the posterior distribution easier.Parameters of prior distributions are called hyperparameters, to distinguish them from parameters of the model of the underlying data. For instance, 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.".
- Prior_probability wikiPageExternalLink prior.pdf.
- Prior_probability wikiPageExternalLink prob.html.
- Prior_probability wikiPageExternalLink deFinetti.pdf.
- Prior_probability wikiPageID "472877".
- Prior_probability wikiPageRevisionID "603164806".
- Prior_probability date "May 2011".
- Prior_probability hasPhotoCollection Prior_probability.
- Prior_probability reason "counterexample of what?".
- Prior_probability subject Category:Bayesian_statistics.
- Prior_probability subject Category:Probability_assessment.
- Prior_probability comment "In Bayesian statistical inference, a prior probability distribution, often called simply the prior, of an uncertain quantity p is the probability distribution that would express one's uncertainty about p before some evidence is taken into account. For example, p could be the proportion of voters who will vote for a particular politician in a future election. It is meant to attribute uncertainty rather than randomness to the uncertain quantity.".
- Prior_probability label "A-priori-Wahrscheinlichkeit".
- Prior_probability label "Distribuzione di probabilità a priori".
- Prior_probability label "Prior probability".
- Prior_probability label "Probabilidad a priori".
- Prior_probability label "Probabilidade a priori".
- Prior_probability label "Априорная вероятность".
- Prior_probability label "事前確率".
- Prior_probability label "先验概率".
- Prior_probability sameAs A-priori-Wahrscheinlichkeit.
- Prior_probability sameAs Probabilidad_a_priori.
- Prior_probability sameAs Distribuzione_di_probabilità_a_priori.
- Prior_probability sameAs 事前確率.
- Prior_probability sameAs 사전_확률.
- Prior_probability sameAs Probabilidade_a_priori.
- Prior_probability sameAs m.02dq82.
- Prior_probability sameAs Q278090.
- Prior_probability sameAs Q278090.
- Prior_probability wasDerivedFrom Prior_probability?oldid=603164806.
- Prior_probability isPrimaryTopicOf Prior_probability.