Dakota Reference Manual: multiplier

| Dakota Reference Manual Version 6.15 Explore and Predict with Confidence

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multiplier

Multiplier to scale prior variance

## Specification

Alias: none

Argument(s): REAL

Default: 1.0

## Description

The initial proposal covariance will be given by the prior variance times the multiplier.

Default Behavior When using prior-based proposal covariance, the default is to use the prior variance for the proposal (multiplier = 1.0)

Usage Tips

The prior variance may result in too tight or narrow a proposal covariance. The multiplier can be used to scale all entries of the prior variance in determining the initial proposal covariance.

## Examples

    method
      bayes_calibration queso
        samples = 2000 seed = 348
        dram
        proposal_covariance prior
          multiplier 0.1