Dakota Reference Manual: hyperprior_alphas

| Dakota Reference Manual Version 6.15 Explore and Predict with Confidence

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hyperprior_alphas

Shape (alpha) of the inverse gamma hyper-parameter prior

## Specification

Alias: none

Argument(s): REALLIST

Child Keywords:

| Required/Optional | Description of Group | Dakota Keyword | Dakota Keyword Description
--- | --- | --- | --- | ---
| Required | hyperprior_betas | Scale (beta) of the inverse gamma hyper-parameter prior

## 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.