.. _method-bayes_calibration-calibrate_error_multipliers-hyperprior_alphas: """"""""""""""""" hyperprior_alphas """"""""""""""""" Shape (alpha) of the inverse gamma hyper-parameter prior .. toctree:: :hidden: :maxdepth: 1 method-bayes_calibration-calibrate_error_multipliers-hyperprior_alphas-hyperprior_betas **Specification** - *Alias:* None - *Arguments:* REALLIST **Child Keywords:** +-------------------------+--------------------+----------------------+---------------------------------------------+ | Required/Optional | Description of | Dakota Keyword | Dakota Keyword Description | | | Group | | | +=========================+====================+======================+=============================================+ | Required | `hyperprior_betas`__ | Scale (beta) of the inverse gamma | | | | hyper-parameter prior | +----------------------------------------------+----------------------+---------------------------------------------+ .. __: method-bayes_calibration-calibrate_error_multipliers-hyperprior_alphas-hyperprior_betas.html **Description** Shape of the prior distribution for calibrated error multipliers. Either a single value or number of hyper-parameters values may be specified. *Default:* 102.0 (with beta = 103.0) so mean and mode are approximately 1.0 and standard deviation is about 0.1.