a prior distribution造句
例句与造句
- Now assume that a prior distribution g over \ theta exists.
- From a prior distributions on model parameters.
- Such problems related to the need to assign a prior distribution to the unknown values.
- He treats the penalty term as a prior distribution and estimates the spline through Bayes theorem.
- An alternative criterion in the decision theoretic framework is the Bayes estimator in the presence of a prior distribution \ Pi.
- It's difficult to find a prior distribution in a sentence. 用a prior distribution造句挺难的
- To construct a Bayesian p-box one must select a prior distribution, in addition to specifying the credibility level ( analogous to a confidence level ).
- Dirichlet distributions are very often used as prior distributions in Bayesian statistics, and in fact the Dirichlet distribution is the conjugate prior of the categorical distribution and multinomial distribution.
- Note also that the reason the integral is tractable is that it involves computing the normalization constant of a density defined by the product of a prior distribution and a likelihood.
- In Bayesian statistics, this can be modelled by using a prior distribution for one's assumptions on the fairness of the coin, then Bayesian inference to update this distribution.
- Similarly, one may use a prior distribution with a range for a hyperparameter, perhaps reflecting uncertainty in the correct prior to take, and reflect this in a range for final uncertainty.
- That would be a posterior distribution, based on conditional probability, but don't you need a prior distribution for that ?-- Lambiam 15 : 15, 23 September 2007 ( UTC)
- As with the term " hyperparameter, " the use of " hyper " is to distinguish it from a prior distribution of a parameter of the model for the underlying system.
- For this, you need to choose a prior distribution on " n " and update it using Bayesian inference .-- talk ) 09 : 58, 6 January 2010 ( UTC)
- Modern statistical models are typically made up of two parts, a prior distribution describing the inherent likelihood of a possible result and a likelihood function used to assess the compatibility of a possible result with observed data.
- 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.
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